diff --git a/.gitignore b/.gitignore new file mode 100644 index 0000000000000000000000000000000000000000..fafff2e8d6c86b79ee1db7cde4325e11516fabfb --- /dev/null +++ b/.gitignore @@ -0,0 +1,2 @@ +.DS_Store +Thumbs.db diff --git a/Code For Speech Generation/BSC/addNoise.py b/Code For Speech Generation/BSC/addNoise.py new file mode 100644 index 0000000000000000000000000000000000000000..b9501f26780a19e971a89a70382249fdbfe78f3f --- /dev/null +++ b/Code For Speech Generation/BSC/addNoise.py @@ -0,0 +1,288 @@ +import numpy as np +import soundfile as sf +import os +import glob +from scipy import signal +import random + +BIGCAT_TO_ENVS = { + "Domestic": ["DWASHING", "DKITCHEN", "DLIVING"], + "Nature": ["NFIELD", "NRIVER", "NPARK"], + "Office": ["OOFFICE", "OHALLWAY", "OMEETING"], + "Public": ["PSTATION", "PCAFETER", "PRESTO"], + "Street": ["STRAFFIC", "SPSQUARE", "SCAFE"], + "Transportation": ["TMETRO", "TBUS", "TCAR"], +} + +ENV_TO_BIGCAT = {env: bigcat for bigcat, envs in BIGCAT_TO_ENVS.items() for env in envs} + +# Within each big category: rotate 3 sub-environment codes (Within-Mismatch) +WITHIN_ROTATION = { + # Domestic + "DWASHING": "DKITCHEN", + "DKITCHEN": "DLIVING", + "DLIVING": "DWASHING", + # Nature + "NFIELD": "NRIVER", + "NRIVER": "NPARK", + "NPARK": "NFIELD", + # Office + "OOFFICE": "OHALLWAY", + "OHALLWAY": "OMEETING", + "OMEETING": "OOFFICE", + # Public + "PSTATION": "PCAFETER", + "PCAFETER": "PRESTO", + "PRESTO": "PSTATION", + # Street + "STRAFFIC": "SPSQUARE", + "SPSQUARE": "SCAFE", + "SCAFE": "STRAFFIC", + # Transportation + "TMETRO": "TBUS", + "TBUS": "TCAR", + "TCAR": "TMETRO", +} + +# Cross big-category mapping (Cross-Mismatch) +CROSS_BIGCAT_MAP = { + "Domestic": "Street", + "Nature": "Transportation", + "Office": "Nature", + "Public": "Domestic", + "Street": "Office", + "Transportation": "Public", +} + + +def read_wav(file_path): + """Read a WAV file.""" + return sf.read(file_path) + +def write_wav(file_path, data, samplerate): + """Write a WAV file.""" + sf.write(file_path, data, samplerate) + +def calculate_rms(signal): + """Compute RMS.""" + return np.sqrt(np.mean(signal**2)) + +def add_noise(speech, noise, snr_db): + """Add noise to speech at the given SNR (dB).""" + # Match speech and noise length + if len(noise) < len(speech): + # If noise is too short, tile it + noise = np.tile(noise, int(np.ceil(len(speech) / len(noise))))[:len(speech)] + else: + # If noise is too long, take a random segment + start = random.randint(0, len(noise) - len(speech)) + noise = noise[start:start + len(speech)] + + # Compute RMS + speech_rms = calculate_rms(speech) + noise_rms = calculate_rms(noise) + + # Scale noise to target SNR + snr_linear = 10 ** (snr_db / 20) + noise_rms_target = speech_rms / snr_linear + + # Scale noise amplitude + noise_adjusted = noise * (noise_rms_target / (noise_rms + 1e-10)) + + # Mix + noisy_speech = speech + noise_adjusted + + # Avoid clipping; normalize to [-1, 1] + max_val = np.max(np.abs(noisy_speech)) + if max_val > 1: + noisy_speech = noisy_speech / max_val * 0.95 + + return noisy_speech + +def parse_speech_stem(stem: str): + """ + Parse speech filename (without extension). + Expected format: + - {ENV}_{E|I}{ID} e.g. DKITCHEN_E01 + - NEUTRAL_N{ID} e.g. NEUTRAL_N03 + Returns: (env_code, type_char, rest) + """ + parts = stem.split("_", 1) + if len(parts) != 2: + raise ValueError(f"Cannot parse speech filename (missing '_'): {stem}") + env_code, rest = parts[0], parts[1] + if not rest: + raise ValueError(f"Cannot parse speech filename (empty after '_'): {stem}") + type_char = rest[0].upper() + return env_code.upper(), type_char, rest + +def build_noise_index(noise_files): + """Build noise env code -> file path mapping (stems uppercased).""" + idx = {} + for p in noise_files: + stem = os.path.splitext(os.path.basename(p))[0].upper() + idx[stem] = p + return idx + +def get_noise_path(noise_index, env_code: str): + """Look up noise file path by env code in the index (exact match after uppercasing).""" + env_code = env_code.upper() + return noise_index.get(env_code) + +def process_files(speech_folder, noise_folder, output_folder, snr_levels=[-10, -5, 0, 5 , 10], seed=None): + """Process all speech files.""" + + # Collect all speech files + speech_files = glob.glob(os.path.join(speech_folder, "*.wav")) + speech_files.sort() + + # Collect all noise files (e.g. 06.wav, 07.wav, ...) + noise_files = glob.glob(os.path.join(noise_folder, "*.wav")) + noise_files.sort() + noise_index = build_noise_index(noise_files) + + if seed is not None: + random.seed(seed) + + print(f"Found {len(speech_files)} speech files") + print(f"Found {len(noise_files)} noise files") + print(f"SNR levels (dB): {snr_levels}") + print("=" * 60) + + # Create output folder + os.makedirs(output_folder, exist_ok=True) + + # Count expected outputs: + # Explicit/Implicit: 3 conditions per utterance (Matched / Within / Cross); Neutral: 3 big-category backgrounds + total_files = 0 + for speech_file in speech_files: + stem = os.path.splitext(os.path.basename(speech_file))[0] + try: + env_code, type_char, _ = parse_speech_stem(stem) + except Exception: + # Skip unparseable stems from the total count (they are skipped later too) + continue + if type_char == "N" or env_code == "NEUTRAL": + total_files += 3 * len(snr_levels) + else: + total_files += 3 * len(snr_levels) + processed = 0 + + # Process each speech file + for speech_file in speech_files: + # Load speech + speech_data, speech_sr = read_wav(speech_file) + speech_name = os.path.splitext(os.path.basename(speech_file))[0] + try: + env_code, type_char, utt_id = parse_speech_stem(speech_name) + except Exception as e: + print(f"\nSkipping speech (unparseable filename): {speech_name}, reason: {e}") + continue + + print(f"\nProcessing speech: {speech_name} (duration: {len(speech_data)/speech_sr:.2f} s)") + + # Pick 3 noise envs per utterance (Matched / Within / Cross, or Neutral rules) + selected_noise_envs = [] + + is_neutral = (type_char == "N") or (env_code == "NEUTRAL") + if is_neutral: + # Neutral: 3 different big-category backgrounds (no matched condition) + bigcats = random.sample(list(BIGCAT_TO_ENVS.keys()), 3) + for bigcat in bigcats: + noise_env = random.choice(BIGCAT_TO_ENVS[bigcat]) + selected_noise_envs.append(noise_env) + else: + # Explicit / Implicit + if env_code not in ENV_TO_BIGCAT: + print(f" Skip (unknown text env code): {env_code}") + continue + + # 1) Matched + selected_noise_envs.append(env_code) + + # 2) Within-Mismatch (rotate within same big category) + within_env = WITHIN_ROTATION.get(env_code) + if within_env is None: + print(f" Warning: no Within rotation rule; skipping Within-Mismatch: {env_code}") + else: + selected_noise_envs.append(within_env) + + # 3) Cross-Mismatch (cross big-category map + random sub-env in target category) + src_bigcat = ENV_TO_BIGCAT[env_code] + dst_bigcat = CROSS_BIGCAT_MAP.get(src_bigcat) + if dst_bigcat is None: + print(f" Warning: no Cross big-category map; skipping Cross-Mismatch: {src_bigcat}") + else: + cross_env = random.choice(BIGCAT_TO_ENVS[dst_bigcat]) + selected_noise_envs.append(cross_env) + + # Require exactly 3 conditions when rules are complete + if len(selected_noise_envs) != 3: + print(f" Skip (could not build 3 conditions, got {len(selected_noise_envs)}): {speech_name}") + continue + + # Generate one output per selected noise env + for noise_env in selected_noise_envs: + noise_env = noise_env.upper() + noise_path = get_noise_path(noise_index, noise_env) + if noise_path is None: + print(f" Skip (noise file not found): {noise_env}.wav") + continue + + noise_data, noise_sr = read_wav(noise_path) + noise_name = os.path.splitext(os.path.basename(noise_path))[0].upper() + + # Resample if sample rates differ + if speech_sr != noise_sr: + print(f" Warning: sample rate mismatch - speech: {speech_sr} Hz, noise ({noise_name}): {noise_sr} Hz") + resample_ratio = speech_sr / noise_sr + new_length = int(len(noise_data) * resample_ratio) + noise_data = signal.resample(noise_data, new_length) + + for snr in snr_levels: + noisy_speech = add_noise(speech_data, noise_data, snr) + # Output name: {speech_stem}_{noise_stem}_{snr}.wav + # e.g. DKITCHEN_E01_DKITCHEN_-5.wav + output_filename = f"{speech_name}_{noise_name}_{snr}.wav" + output_path = os.path.join(output_folder, output_filename) + write_wav(output_path, noisy_speech, speech_sr) + processed += 1 + + print(f" Progress: {processed}/{total_files}") + print("-" * 40) + + print(f"\nDone. Generated {processed} files total.") + print(f"Saved under: {output_folder}") + +def check_files(folder): + """List a few WAV files in a folder.""" + files = glob.glob(os.path.join(folder, "*.wav")) + print(f"\nFiles in folder {folder}:") + for f in files[:5]: # show first 5 only + data, sr = read_wav(f) + print(f" {os.path.basename(f)}: {sr} Hz, {len(data)/sr:.2f} s") + if len(files) > 5: + print(f" ... and {len(files)-5} more file(s)") + +# Main +if __name__ == "__main__": + # Folder paths + speech_folder = "speech_16k" # speech WAVs + noise_folder = "noise" # noise WAVs + output_folder = "noisy_speech" # output + + # SNR levels (dB) + snr_levels=[-10, -5, 0, 5 , 10] + + print("Starting speech + noise mixing...") + print(f"Speech folder: {speech_folder}") + print(f"Noise folder: {noise_folder}") + print(f"Output folder: {output_folder}") + + # Quick peek at inputs + check_files(speech_folder) + check_files(noise_folder) + + process_files(speech_folder, noise_folder, output_folder, snr_levels) + + print("\nAll done.") \ No newline at end of file diff --git a/Code For Speech Generation/BSC/edgeTTS.py b/Code For Speech Generation/BSC/edgeTTS.py new file mode 100644 index 0000000000000000000000000000000000000000..39ba9ed5388ffc9fce9c6f7575fbd3a72868bed4 --- /dev/null +++ b/Code For Speech Generation/BSC/edgeTTS.py @@ -0,0 +1,76 @@ +import asyncio +import edge_tts +import pandas as pd +import os +from tqdm import tqdm # progress bar + +# ================= Configuration ================= +INPUT_FILE = "" +OUTPUT_DIR = "" +VOICE = "en-US-GuyNeural" +# =========================================== + +async def generate_speech(code, text, output_path): + """ + Generate one speech clip. + """ + try: + communicate = edge_tts.Communicate(text, VOICE) + await communicate.save(output_path) + # Use tqdm.write instead of print so the progress bar layout stays intact + tqdm.write(f"[OK] Saved {code}.mp3") + return True + except Exception as e: + tqdm.write(f"[FAIL] {code}.mp3: {e}") + return False + +async def amain(): + # 1. Ensure output directory exists + if not os.path.exists(OUTPUT_DIR): + os.makedirs(OUTPUT_DIR) + tqdm.write(f"Created output directory: {OUTPUT_DIR}") + + # 2. Load Excel + try: + df = pd.read_excel(INPUT_FILE) + # Strip column names + df.columns = df.columns.str.strip() + if 'code' not in df.columns or 'sentence' not in df.columns: + tqdm.write("Error: Excel must contain 'code' and 'sentence' columns") + return + except FileNotFoundError: + tqdm.write(f"Error: file not found: {INPUT_FILE}") + return + except Exception as e: + tqdm.write(f"Error reading Excel: {e}") + return + + total_count = len(df) + tqdm.write(f"Starting: {total_count} row(s)...") + + # 3. Iterate rows with tqdm + # desc: label on the left of the bar + # unit: bar unit + # total: row count for percentage + for index, row in tqdm(df.iterrows(), total=total_count, desc="Progress", unit="row"): + code = str(row['code']).strip() + sentence = str(row['sentence']).strip() + + # Skip empty sentences + if not sentence: + tqdm.write(f"[SKIP] row {index}: empty sentence") + continue + + # Sanitize code for use in filenames + safe_code = "".join([c for c in code if c not in r'\/:*?"<>|']) + + # Output path + output_file = os.path.join(OUTPUT_DIR, f"{safe_code}.mp3") + + # Synthesize + await generate_speech(safe_code, sentence, output_file) + + tqdm.write("All tasks finished.") + +if __name__ == "__main__": + asyncio.run(amain()) \ No newline at end of file diff --git a/Code For Speech Generation/BSC/mp3_to_wav.py b/Code For Speech Generation/BSC/mp3_to_wav.py new file mode 100644 index 0000000000000000000000000000000000000000..d2e242d0c87bdb72686274c946d8056cf87e6c0f --- /dev/null +++ b/Code For Speech Generation/BSC/mp3_to_wav.py @@ -0,0 +1,68 @@ +from pydub import AudioSegment +import os +import glob + +def mp3_to_wav(mp3_path, output_folder=None, target_sample_rate=16000): + """Convert MP3 to WAV and set sample rate to 16 kHz.""" + + if output_folder: + filename = os.path.basename(mp3_path) + wav_filename = os.path.splitext(filename)[0] + '.wav' + wav_path = os.path.join(output_folder, wav_filename) + else: + wav_path = os.path.splitext(mp3_path)[0] + '.wav' + + # Load MP3 + audio = AudioSegment.from_mp3(mp3_path) + print(f"Original sample rate: {audio.frame_rate} Hz") + + # Resample to target sample rate (16 kHz) + if audio.frame_rate != target_sample_rate: + audio = audio.set_frame_rate(target_sample_rate) + print(f"Resampled to: {target_sample_rate} Hz") + + # Export as WAV + audio.export(wav_path, format="wav") + + print(f"Conversion complete: {mp3_path} -> {wav_path}") + return wav_path + +def batch_convert(input_folder, output_folder=None, target_sample_rate=16000): + + mp3_files = glob.glob(os.path.join(input_folder, "*.mp3")) + mp3_files.extend(glob.glob(os.path.join(input_folder, "*.MP3"))) + mp3_files.sort() + + if not mp3_files: + print(f"No MP3 files found in folder: {input_folder}") + return + + if output_folder: + os.makedirs(output_folder, exist_ok=True) + print(f"Output folder: {output_folder}") + + print(f"Found {len(mp3_files)} MP3 file(s), target sample rate: {target_sample_rate} Hz") + print("=" * 50) + success = 0 + failed = 0 + + for mp3_file in mp3_files: + try: + mp3_to_wav(mp3_file, output_folder, target_sample_rate) + success += 1 + print("-" * 50) + except Exception as e: + print(f"Conversion failed {mp3_file}: {e}") + failed += 1 + + print(f"Batch complete. Succeeded: {success}, failed: {failed}") + +if __name__ == "__main__": + input_folder = "speech" # Input folder + output_folder = "speech_16k" # Output folder for 16 kHz audio + + if os.path.exists(input_folder): + batch_convert(input_folder, output_folder, target_sample_rate=16000) + else: + print(f"Folder does not exist: {input_folder}") + print(f"Current directory: {os.getcwd()}") diff --git a/Code For Speech Generation/README.md b/Code For Speech Generation/README.md new file mode 100644 index 0000000000000000000000000000000000000000..d25b7aea4686314d2960715d0b02a21ebd545d2f --- /dev/null +++ b/Code For Speech Generation/README.md @@ -0,0 +1,23 @@ + +# Speech generation code (DEAF) + +Scripts used to build the **BSC** and **SIC** speech datasets for [DEAF: A Benchmark for Diagnostic Evaluation of Acoustic Faithfulness in Audio Language Models](https://arxiv.org/abs/2603.18048). + +## BSC pipeline + +1. **`BSC/edgeTTS.py`** — Synthesize speech from text with Edge TTS. +2. **`BSC/mp3_to_wav.py`** — Convert synthesized speech and background audio (e.g. MP3) to **WAV** at **16 kHz**. +3. **`BSC/addNoise.py`** — Mix speech with background noise to produce the final **BSC** samples. + +Run these steps in order from the repository root or adjust paths to match your local layout. + +## SIC pipeline + +- **`SIC/SIC_audio_generation.py`** — Generate speech from text for the **SIC** subset (single script end-to-end for this track). Speech synthesis uses the **ElevenLabs Python SDK**. + +**Reference (tooling):** ElevenLabs. 2024. *ElevenLabs Python SDK.* [https://github.com/elevenlabs/elevenlabs-python](https://github.com/elevenlabs/elevenlabs-python) + +## Requirements + +Install dependencies used by the scripts you run (for example `edge-tts`, `pydub`, `soundfile`, `numpy`, `scipy`, **`elevenlabs`** for the SIC pipeline, and any others imported in each file). Pin versions in your own `requirements.txt` if you publish this folder as a standalone project. + diff --git a/Code For Speech Generation/SIC/SIC_audio_generation.py b/Code For Speech Generation/SIC/SIC_audio_generation.py new file mode 100644 index 0000000000000000000000000000000000000000..7cf4222a28d1a07c72d50eceba72573c47e6b20f --- /dev/null +++ b/Code For Speech Generation/SIC/SIC_audio_generation.py @@ -0,0 +1,225 @@ +import os +import re +import wave +from dataclasses import dataclass + +from dotenv import load_dotenv +from elevenlabs.client import ElevenLabs +from openpyxl import load_workbook + +load_dotenv() + + +ELEVENLABS_API_KEY = " " # Enter your ElevenLabs API key here or set it in the .env file as ELEVENLABS_API_KEY +SIC_XLSX_PATH = " " # Enter the path to your SIC_texts.xlsx file here +OUTPUT_DIR = "SIC_clips" # Output directory for generated clips +MODEL_ID = "eleven_multilingual_v2" +OUTPUT_FORMAT = "pcm_16000" +SAMPLE_RATE = 16000 +N_CHANNELS = 1 +SAMPLE_WIDTH_BYTES = 2 # 16-bit PCM + + +VOICE_IDS = { + "elderly_male": "Av4Fi2idMFuA8kTbVZgv", + "young_male": "1wzJ0Fr9SDexsF2IsKU4", + "elderly_female": "0rEo3eAjssGDUCXHYENf", + "young_female": "aFueGIISJUmscc05ZNfD", +} + +# For single-dimension contrasts, to control only that dimension, +# the other dimension is fixed by default: +# - Gender dimension: fix age to "young" +# - Age dimension: fix gender to "male" +GDR_FIXED_AGE = "young" # "young" or "elderly" +AGE_FIXED_GENDER = "male" # "male" or "female" + + +@dataclass(frozen=True) +class SicCode: + dim: str # GDR / AGE / CMB / NEU + typ: str # EX / IM / NT + ident: str # F/M/EL/YG/EF/EM/YF/YM/NA + nn: str # 01,02,... + + @property + def stem(self) -> str: + return f"{self.dim}_{self.typ}_{self.ident}_{self.nn}" + + +CODE_RE = re.compile(r"^(GDR|AGE|CMB|NEU)_(EX|IM|NT)_([A-Z]{1,2})_(\d{2})$") + + +def parse_code(code: str) -> SicCode: + code = str(code).strip().upper() + m = CODE_RE.match(code) + if not m: + raise ValueError(f"Invalid code format: {code}") + return SicCode(dim=m.group(1), typ=m.group(2), ident=m.group(3), nn=m.group(4)) + + +def voice_key_from_gender_age(gender: str, age: str) -> str: + gender = gender.lower() + age = age.lower() + if gender not in ("male", "female"): + raise ValueError(f"Unknown gender: {gender}") + if age not in ("young", "elderly"): + raise ValueError(f"Unknown age: {age}") + return f"{age}_{gender}" + + +def pick_voices_for_code(sc: SicCode) -> list[str]: + """ + Return the list of `voice_key`s to generate (each key must exist in `VOICE_IDS`). + - GDR: 2 clips (matched / mismatched) + - AGE: 2 clips (matched / mismatched) + - CMB: 4 clips (both matched / gender mismatched only / age mismatched only / both mismatched) + - NEU or NT: 4 clips (young_male, young_female, elderly_male, elderly_female) + """ + # Neutral (control group) + if sc.dim == "NEU" or sc.typ == "NT": + return ["young_male", "young_female", "elderly_male", "elderly_female"] + + if sc.dim == "GDR": + if sc.ident not in ("F", "M"): + raise ValueError(f"GDR ident must be F/M, got: {sc.ident}") + gender_sem = "female" if sc.ident == "F" else "male" + age_fixed = GDR_FIXED_AGE + matched = voice_key_from_gender_age(gender_sem, age_fixed) + mismatched_gender = "male" if gender_sem == "female" else "female" + mismatched = voice_key_from_gender_age(mismatched_gender, age_fixed) + return [matched, mismatched] + + if sc.dim == "AGE": + if sc.ident not in ("EL", "YG"): + raise ValueError(f"AGE ident must be EL/YG, got: {sc.ident}") + age_sem = "elderly" if sc.ident == "EL" else "young" + gender_fixed = AGE_FIXED_GENDER + matched = voice_key_from_gender_age(gender_fixed, age_sem) + mismatched_age = "young" if age_sem == "elderly" else "elderly" + mismatched = voice_key_from_gender_age(gender_fixed, mismatched_age) + return [matched, mismatched] + + if sc.dim == "CMB": + if sc.ident not in ("EF", "EM", "YF", "YM"): + raise ValueError(f"CMB ident must be EF/EM/YF/YM, got: {sc.ident}") + age_sem = "elderly" if sc.ident.startswith("E") else "young" + gender_sem = "female" if sc.ident.endswith("F") else "male" + + both_matched = voice_key_from_gender_age(gender_sem, age_sem) + + # gender mismatched only: flip gender keep age + g_flip = "male" if gender_sem == "female" else "female" + gender_mis_only = voice_key_from_gender_age(g_flip, age_sem) + + # age mismatched only: flip age keep gender + a_flip = "young" if age_sem == "elderly" else "elderly" + age_mis_only = voice_key_from_gender_age(gender_sem, a_flip) + + # both mismatched: flip both + both_mis = voice_key_from_gender_age(g_flip, a_flip) + + return [both_matched, gender_mis_only, age_mis_only, both_mis] + + raise ValueError(f"Unknown dim: {sc.dim}") + + +def pcm16_to_wav_bytes(pcm_bytes: bytes) -> bytes: + """Wrap ElevenLabs `pcm_16000` (16-bit) into WAV bytes.""" + out_path = None + # Write WAV via `wave`: use a temp file to avoid extra dependencies (keep it simple and stable) + import tempfile + with tempfile.NamedTemporaryFile(delete=False, suffix=".wav") as tmp: + out_path = tmp.name + try: + with wave.open(out_path, "wb") as wf: + wf.setnchannels(N_CHANNELS) + wf.setsampwidth(SAMPLE_WIDTH_BYTES) + wf.setframerate(SAMPLE_RATE) + wf.writeframes(pcm_bytes) + with open(out_path, "rb") as f: + return f.read() + finally: + if out_path and os.path.exists(out_path): + try: + os.remove(out_path) + except OSError: + pass + + +def generate_one(client: ElevenLabs, text: str, voice_key: str, out_path: str): + voice_id = VOICE_IDS.get(voice_key) + if not voice_id: + raise ValueError(f"voice_key not configured in VOICE_IDS: {voice_key}") + + audio_stream = client.text_to_speech.convert( + text=text, + voice_id=voice_id, + model_id=MODEL_ID, + output_format=OUTPUT_FORMAT, + ) + + pcm = b"".join(audio_stream) + wav_bytes = pcm16_to_wav_bytes(pcm) + with open(out_path, "wb") as f: + f.write(wav_bytes) + + +def load_sic_rows(xlsx_path: str) -> list[tuple[str, str]]: + wb = load_workbook(xlsx_path) + ws = wb.active + rows = [] + for r in ws.iter_rows(min_row=1, values_only=True): + if not r or len(r) < 2: + continue + code, sentence = r[0], r[1] + if code is None or sentence is None: + continue + code_s = str(code).strip() + sent_s = str(sentence).strip() + if not code_s or code_s.lower() == "code": + continue + rows.append((code_s, sent_s)) + return rows + + +def main(): + os.makedirs(OUTPUT_DIR, exist_ok=True) + client = ElevenLabs(api_key=ELEVENLABS_API_KEY) + + rows = load_sic_rows(SIC_XLSX_PATH) + print(f"Loaded {len(rows)} rows") + + + total_clips = 0 + for code_raw, _ in rows: + try: + sc_tmp = parse_code(code_raw) + total_clips += len(pick_voices_for_code(sc_tmp)) + except Exception: + continue + + ok = 0 + fail = 0 + for code_raw, sentence in rows: + try: + sc = parse_code(code_raw) + voice_keys = pick_voices_for_code(sc) + for vk in voice_keys: + out_name = f"{sc.stem}__{vk}.wav" + out_path = os.path.join(OUTPUT_DIR, out_name) + generate_one(client, sentence, vk, out_path) + ok += 1 + if total_clips: + progress = ok + fail + pct = progress * 100.0 / total_clips + print(f"[progress] {progress}/{total_clips} ({pct:.1f}%) - current: {out_name}") + except Exception as e: + fail += 1 + print(f"[skip] {code_raw}: {e}") + + print(f"Done: generated {ok} clips; skipped/failed {fail} rows. Output directory: {OUTPUT_DIR}") + + +if __name__ == "__main__": + main() \ No newline at end of file diff --git a/Data/Audio/BSC/DKITCHEN_E01.wav b/Data/Audio/BSC/DKITCHEN_E01.wav new file mode 100644 index 0000000000000000000000000000000000000000..7d08e0bc120741d8f0ad22ca72f3d8cf6bf35832 --- /dev/null +++ b/Data/Audio/BSC/DKITCHEN_E01.wav @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:dac697aacfff0491148e8c56e43d48b172c566f83011522aac8aa9ffff9d99fa +size 172844 diff --git a/Data/Audio/BSC/DKITCHEN_E02.wav b/Data/Audio/BSC/DKITCHEN_E02.wav new file mode 100644 index 0000000000000000000000000000000000000000..1d0f244f88547f9bb00b84adf41dea86d7872cc5 --- /dev/null +++ b/Data/Audio/BSC/DKITCHEN_E02.wav @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:44a5a10bb1166db29585560ddeb6a331b87da553364998ee0900ccfdb03bc954 +size 211244 diff --git a/Data/Audio/BSC/DKITCHEN_I01.wav b/Data/Audio/BSC/DKITCHEN_I01.wav new file mode 100644 index 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sha256:657f459091630a890fa7efe4fa6e8374cfd131891150440bdd4d82154a168fc0 +size 104070 diff --git a/Data/Audio/SIC/NEU_NT_NA_10__young_male.wav b/Data/Audio/SIC/NEU_NT_NA_10__young_male.wav new file mode 100644 index 0000000000000000000000000000000000000000..a67df081a0176778e362a637cb426ebe9e5e79cd --- /dev/null +++ b/Data/Audio/SIC/NEU_NT_NA_10__young_male.wav @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:3a91f849b4a3c7ccab6aea64fd60898bc3fe119aad525e7c5c111a8cac66bf75 +size 101098 diff --git a/Data/metadata/BSC.csv b/Data/metadata/BSC.csv new file mode 100644 index 0000000000000000000000000000000000000000..e1c9f0a7ab09cc25b630da210d959ae4d1cd80d2 --- /dev/null +++ b/Data/metadata/BSC.csv @@ -0,0 +1,85 @@ +code,sentence +DKITCHEN_E01,"I'm cooking dinner in the kitchen, preparing food slowly while enjoying the quiet routine." +DKITCHEN_E02,"We are sitting around the small wooden table in the kitchen right now, having a quick breakfast before leaving for work." +DKITCHEN_I01,My brother is busy prepping ingredients and lining up spice jars. +DKITCHEN_I02,"I need to give that gently bubbling sauce a thorough yet delicate stir, ensuring it moves across the bottom of the pan before the heat turns those rich flavors into something scorched." +DLIVING_E01,We spent the entire quiet evening together in the living room instead of going out. +DLIVING_E02,"I have been sitting quietly in the corner of the living room for the past hour, waiting for the guests to finally arrive." +DLIVING_I01,I am currently relaxing on the comfortable sofa after finishing a very long and tiring day at work. +DLIVING_I02,"I just dropped onto the couch after a long day and opened a newspaper, letting myself relax for a while." +DWASHING_E01,I'm standing in the washing room loading a pile of clothes into the washing machine while sorting the rest of the laundry into different baskets. +DWASHING_E02,I start the washing machine in the washing room and wait while the drum slowly begins spinning the clothes inside. +DWASHING_I01,I am adding some fabric softener during the rinse cycle specifically so that these heavy bath towels don't come out feeling stiff and scratchy. +DWASHING_I02,I'm just going to hang these cotton shirts up on the drying rack right away so that they don't get all wrinkled while they're still damp. +NFIELD_E01,"I'm walking through the field, enjoying the golden waves under the sun." +NFIELD_E02,"I sit in the field and watch the clouds drift lazily across the sky, letting the gentle breeze carry the scent of freshly sprouting plants toward me." +NFIELD_I01,"I take slow steps, feeling the rough texture of the earth beneath my shoes and noticing the small movements of creatures hiding among the plants." +NFIELD_I02,"I follow a narrow path, observing the subtle variations in the terrain as the tall corn stalks sway gently, moving in and out of sight." +NPARK_E01,"I’m walking slowly and steadily along the winding gravel path in the park, while enjoying the cool and refreshing shade from the rows of tall trees." +NPARK_E02,"I noticed that the entire park is very crowded and full of energy this afternoon, as many local families have gathered together to spend their free time outdoors." +NPARK_I01,I’m going to spread the large checkered blanket on the soft green grass so we can finally start our picnic. +NPARK_I02,I’ve been watching the kids taking turns on the rusty swings and the tall slide while their parents sit and chat on the nearby wooden benches. +NRIVER_E01,"We walked slowly along the river, enjoying the cool breeze and the beautiful views of the landscape." +NRIVER_E02,"I'm standing near the river, looking at the flowing water and enjoying the calm surroundings." +NRIVER_I01,"I balance carefully on the edge, feeling the cool breeze and listening to the flowing current." +NRIVER_I02,"I notice a group of ducks gliding quietly nearby, staying close together as they move slowly past." +OHALLWAY_E01,"I'm waiting in the hallway outside the office, hoping someone inside will notice that I have arrived." +OHALLWAY_E02,"I’m standing in the hallway, trying to decide which door I should knock on first." +OHALLWAY_I01,I stop beside one of the doors and double-check the room number written on the small plate next to it. +OHALLWAY_I02,"I walk slowly along the narrow passage, glancing at the small signs posted beside each doorway." +OMEETING_E01,"I’m sitting in a meeting room with my team, listening carefully while someone presents the quarterly results on the big screen." +OMEETING_E02,I'm taking notes in the meeting room while someone summarizes the key decisions to be made before the end of the session. +OMEETING_I01,"I am gathered with several colleagues around the conference table, focusing on the slides being projected at the front." +OMEETING_I02,I am focusing on the projected charts and reflecting on the latest analysis results. +OOFFICE_E01,I sit down at my desk in the office and start organizing the reports I need to review before the afternoon meeting. +OOFFICE_E02,I spend the morning in the office analyzing spreadsheets and updating the financial numbers for this quarter. +OOFFICE_I01,I open my laptop and begin replying to a long chain of emails that have been waiting since this morning. +OOFFICE_I02,I quietly focus on finishing a document while others around me continue working. +PCAFETER_E01,I'm grabbing a quick lunch in the busy office cafeteria before my next meeting. +PCAFETER_E02,I notice the long line of colleagues waiting patiently in the cafeteria for their meals. +PCAFETER_I01,I scan the trays to see which dishes are freshly served and ready to eat. +PCAFETER_I02,I balance my plate while weaving through a crowd of people hurrying to their tables. +PRESTO_E01,I'm waiting for my table in the restaurant while scanning the menu carefully to decide what to order. +PRESTO_E02,"We are seated at a corner table in the restaurant's dining area, surrounded by soft lighting." +PRESTO_I01,"I feel the warmth of freshly cooked food being brought close, and the rich scent of sauce lingers in the air." +PRESTO_I02,"I watch someone prepare a dish skillfully, noticing the way each ingredient is handled with precision." +PSTATION_E01,"I'm waiting at the station, glancing nervously at the departure board as my train approaches." +PSTATION_E02,"I hurry through the station, following the signs to find the correct platform." +PSTATION_I01,"People rush past me, some carrying heavy bags, some dragging small suitcases." +PSTATION_I02,"I find a quiet corner to wait, observing the flow of commuters around me." +SCAFE_E01,"I am waiting for my order at the counter of the cafe, looking at the menu board again to decide on a sweet dessert." +SCAFE_E02,I met one of my friends at the nearby cafe to enjoy a cup of coffee together this morning. +SCAFE_I01,I'm just waiting for my double espresso shot to be pulled at the counter while I watch the steam wand froth the milk. +SCAFE_I02,He is using a gooseneck kettle to slowly pour hot water in concentric circles over the paper filter. +SPSQUARE_E01,"I am walking across the square, enjoying the hustle and bustle of people moving in all directions." +SPSQUARE_E02,"I watch families taking photos in the square, capturing memories of their weekend outing." +SPSQUARE_I01,Tourists pause to take photos of historic buildings and bustling activity around them. +SPSQUARE_I02,"I stop for a moment to watch pigeons gather, scattering tiny crumbs for them as I walk by." +STRAFFIC_E01,"I'm waiting at the traffic intersection, watching the lights change from red to green." +STRAFFIC_E02,"I slow down as I approach the traffic intersection, checking both directions for cars." +STRAFFIC_I01,I notice people navigating carefully around a group of parked vehicles. +STRAFFIC_I02,"I keep an eye on the signal changes, timing my turn to avoid accidents." +TBUS_E01,I'm currently standing on the crowded bus holding onto the handrail tightly while it slowly moves through the heavy morning traffic toward the city center. +TBUS_E02,I finally found a comfortable seat near the back of the bus and now I'm just quietly watching the entire city pass by the window as we drive. +TBUS_I01,I'll just find a spot to stand and hold onto the overhead handrail firmly since there are absolutely no empty seats left today. +TBUS_I02,"The card reader beeped when I tapped it, so now I just need to wait until my stop comes." +TCAR_E01,"I'm sitting in the passenger seat of the car, looking out the window at the passing trees and green fields in the countryside. " +TCAR_E02,"My little sister is sleeping peacefully in the back seat of the car, wrapped in a warm blanket after an exhausting day." +TCAR_I01,I find it difficult to see the road ahead clearly because the bright afternoon sunlight is reflecting off the dashboard. +TCAR_I02,I can see the overall traffic situation behind us clearly through the rearview mirror. +TMETRO_E01,"I'm standing inside the crowded metro train, holding the rail while the doors close and the carriage slowly starts moving toward the next underground station." +TMETRO_E02,"I am currently standing on the metro during rush hour, and it is so crowded that I can barely reach for the handrail." +TMETRO_I01,I’ll wait for the platform screen doors to open before I step inside the carriage. +TMETRO_I02,I quickly tapped my transit card at the gate and hurried downstairs because the next ride would arrive any second. +NEUTRAL_N01,I should probably call them back tomorrow morning. +NEUTRAL_N02,It might be a good idea to check my schedule for next week. +NEUTRAL_N03,I could try to focus on what really matters right now. +NEUTRAL_N04,I should probably take a moment to reflect before acting. +NEUTRAL_N05,I should probably take a short break and clear my mind. +NEUTRAL_N06,I might want to organize my priorities before doing anything else. +NEUTRAL_N07,I should probably spend a little time exploring a new option. +NEUTRAL_N08,I could consider approaching this task with curiosity rather than pressure. +NEUTRAL_N09,I am checking to see if everything is in order. +NEUTRAL_N10,I might want to try looking at a challenge as an opportunity. +NEUTRAL_N11,I am processing the information as it arrives. +NEUTRAL_N12,I am following the instructions to the best of my ability. \ No newline at end of file diff --git a/Data/metadata/SIC.csv b/Data/metadata/SIC.csv new file mode 100644 index 0000000000000000000000000000000000000000..de047128124f79b0917edf14ac4fd9b221bfaef7 --- /dev/null +++ b/Data/metadata/SIC.csv @@ -0,0 +1,83 @@ +code,sentence +GDR_EX_F_01,"As a mother of three, I have learned to balance work, family, and personal responsibilities while always trying to set a good example for my children." +GDR_EX_F_02,"As a young woman entering the tech industry, I often find myself motivated to prove that women can contribute innovative ideas and leadership in this rapidly changing field." +GDR_EX_F_03,"As a working mother with a demanding schedule, I try my best to balance my professional ambitions with spending meaningful time with my family." +GDR_EX_F_04,"As an older sister in my family, I feel a strong responsibility to guide and support my younger siblings whenever they need advice or encouragement." +GDR_EX_F_05,"As a professional woman working in a fast-paced environment, I try to maintain confidence and resilience even when facing difficult challenges." +GDR_EX_M_01,"As a father watching his children grow up, I realize how quickly time passes and how important it is to enjoy every moment together." +GDR_EX_M_02,"As a father who enjoys reading bedtime stories, I cherish the quiet moments I spend helping my children develop their imagination." +GDR_EX_M_03,"As a younger brother growing up in a competitive household, I learned early on how to stand my ground and improve through constant effort." +GDR_EX_M_04,"As a teenage boy discovering his interests and ambitions, I sometimes feel uncertain about the future but remain determined to keep moving forward." +GDR_EX_M_05,"As a male student studying engineering, I spend many late nights reviewing complex problems and discussing ideas with my classmates." +GDR_IM_F_01,I spent extra time this morning carefully applying eyeliner and blending my eyeshadow so the colors looked natural. +GDR_IM_F_02,I spent the afternoon watching tutorials and practicing how to create a smooth and natural makeup look. +GDR_IM_F_03,I experimented with different hair clips and accessories to see which style looked best. +GDR_IM_F_04,"I took my time styling my hair, adjusting each strand until everything looked just right in the mirror." +GDR_IM_F_05,I refreshed my makeup and brushed my hair again before meeting everyone later in the evening. +GDR_IM_M_01,"I stood in front of the mirror carefully trimming my beard, trying to make the edges look sharp and even." +GDR_IM_M_02,I quickly shaved and rinsed my face before getting dressed for the evening event. +GDR_IM_M_03,I spent a moment adjusting the cuffs of my shirt and fixing my tie before leaving the house. +GDR_IM_M_04,I cleaned and organized my shaving kit so everything would be ready for tomorrow morning. +GDR_IM_M_05,I spent a few extra minutes shaving this morning to make sure my face looked clean and neat. +AGE_EX_EL_01,"After forty years of teaching at the same school, I am finally retiring and looking forward to spending more time with my family." +AGE_EX_EL_02,"As a grandmother, I enjoy baking cookies on weekends so my grandchildren can take some home with them." +AGE_EX_EL_03,I often tell my granddaughter stories about how different life was when I was young. +AGE_EX_EL_04,I recently celebrated my retirement with friends who worked with me for more than thirty years. +AGE_EX_EL_05,"As an older adult, I sometimes reflect on how much the world has changed over the decades." +AGE_EX_YG_01,I can’t wait to see all my friends at school tomorrow and show them the drawing I made during art class. +AGE_EX_YG_02,"I’m so excited to join the school choir this year, mummy, because I love singing with my friends every week." +AGE_EX_YG_03,"We are learning to write our own little stories in school, and I already have a cool idea about a magical forest." +AGE_EX_YG_04,"We are learning all about dinosaurs at school this week, and I want to tell mummy every single fact I discovered." +AGE_EX_YG_05,"Today at school we played a fun game outside during recess, and I ran so fast that I almost fell over!" +AGE_IM_EL_01,"Climbing stairs leaves me breathless, so I move slowly and carefully, holding the railing for support." +AGE_IM_EL_02,"My doctor mentioned that the stiffness in my joints is becoming more common at my age, and suggested a few gentle exercises to help keep them from getting worse." +AGE_IM_EL_03,I sometimes find myself holding the menu a little farther away just to read the smaller print clearly under the restaurant lights. +AGE_IM_EL_04,"My back complains whenever I sit too long, so I’ve gotten into the habit of stretching slowly every morning." +AGE_IM_EL_05,"I try to sit closer during conversations to make sure I don’t miss anything important, since my hearing isn’t very sharp." +AGE_IM_YG_01,I ran outside as soon as I finished my homework because my friends were already waiting to start our game. +AGE_IM_YG_02,I asked if I could stay up just a little longer to finish watching the cartoon episode. +AGE_IM_YG_03,I practiced writing my name over and over because I wanted it to look neat on my paper. +AGE_IM_YG_04,I traded one of my stickers with my friend because he had the shiny dinosaur one I really wanted. +AGE_IM_YG_05,I counted the coins in my piggy bank to see if I finally had enough for the toy I wanted. +CMB_EX_EF_01,"As a retired grandmother, I spend most of my mornings tending to my small garden and enjoying the quiet rhythm of the day." +CMB_EX_EF_02,"Life changed a lot after I became a grandmother, but I enjoy every moment spent with the younger generation." +CMB_EX_EF_03,These days I simply enjoy life as a retired woman with a garden and plenty of free time. +CMB_EX_EF_04,"My life as a widowed grandmother is simple now, filled with knitting projects and long phone calls with family." +CMB_IM_EF_01,I enjoy baking homemade cookies and carefully packing them into tins whenever family plans to visit. +CMB_IM_EF_02,I spend extra time styling my hair in the morning because it has become thinner and harder to manage. +CMB_IM_EF_03,"While brushing my hair in front of the mirror, I notice more silver strands appearing among the darker ones." +CMB_IM_EF_04,I’ve started being very careful with heavy grocery bags since my doctor warned me that my bones have become fragile and I could fracture them more easily. +CMB_EX_EM_01,I often introduce myself proudly as a grandfather whenever I meet new neighbors. +CMB_EX_EM_02,Being an elderly man doesn’t stop me from staying active and working on small projects around the house. +CMB_EX_EM_03,My role as a grandfather mostly involves sharing stories and giving advice during family gatherings. +CMB_EX_EM_04,Being a grandfather means I often help the younger generation learn how to fix things around the house. +CMB_IM_EM_01,"While trimming my beard in front of the mirror, I notice more gray strands appearing among the darker hairs." +CMB_IM_EM_02,"While shaving at the sink, I carefully smooth down the coarse gray beard along my jawline." +CMB_IM_EM_03,My beard has become thick and gray enough that shaving requires a bit more patience each morning. +CMB_IM_EM_04,I take short breaks while sanding a piece of wood because my hands begin to feel stiff after gripping the tools for too long. +CMB_EX_YF_01,"I'm one of the youngest female engineers in the company, already leading an ambitious robotics project." +CMB_EX_YF_02,I'm a young woman working hard to establish herself in a competitive professional field. +CMB_EX_YF_03,I'm a talented young woman who has already published several articles in academic journals. +CMB_EX_YF_04,"As a young woman starting her career in technology, she spends long nights learning new programming languages." +CMB_IM_YF_01,I spend the evening experimenting with new makeup styles while getting ready for a gathering with friends. +CMB_IM_YF_02,I edit photos from a recent trip while listening to music late at night. +CMB_IM_YF_03,I spend time decorating my planner with colorful notes to organize the week. +CMB_IM_YF_04,I try different combinations of accessories in front of the mirror before heading out. +CMB_EX_YM_01,"As a young man learning photography, I enjoy experimenting with different angles and lighting." +CMB_EX_YM_02,"I’m a young guy who enjoys outdoor activities, so weekends usually involve hiking or cycling somewhere new." +CMB_EX_YM_03,"I’m still a young man learning independence, which sometimes means making mistakes and learning from them." +CMB_EX_YM_04,"I’m still a young man figuring things out, but every challenge feels like part of the learning process." +CMB_IM_YM_01,I spend the evening debugging a small coding project after realizing the problem was in a single line of code. +CMB_IM_YM_02,I’ve been watching a lot of DIY videos to figure out how to fix the chain on my mountain bike myself. +CMB_IM_YM_03,I had to shave again this morning because the stubble was already starting to show. +CMB_IM_YM_04,"I noticed that my beard grows back faster than it used to, even if I shaved just yesterday." +NEU_NT_NA_01,I should double-check the schedule just to be sure. +NEU_NT_NA_02,I should probably finish the remaining part before starting something new. +NEU_NT_NA_03,There are still several things I’ve been meaning to finish when I get the chance. +NEU_NT_NA_04,"There are a few messages I haven’t replied to yet, and I should get back to them soon." +NEU_NT_NA_05,It might be a good idea to take a moment to double-check everything before continuing. +NEU_NT_NA_06,I might spend some time later reviewing everything to see if anything needs improvement. +NEU_NT_NA_07,I might adjust a few parts later depending on how everything develops. +NEU_NT_NA_08,"There are a couple of ideas I’ve been thinking about, but I haven’t decided which one to try yet." +NEU_NT_NA_09,"There are several possibilities to consider, and I need a little more time to decide." +NEU_NT_NA_10,I hope the coffee shop isn't too crowded this afternoon. \ No newline at end of file diff --git a/README.md b/README.md new file mode 100644 index 0000000000000000000000000000000000000000..54f2a2d979cbdeaeabaab3690ed515a82da4842d --- /dev/null +++ b/README.md @@ -0,0 +1,105 @@ +--- +pretty_name: DEAF +language: +- en +license: other +size_categories: +- n<1K +task_categories: +- audio-classification +- automatic-speech-recognition +tags: +- audio +- speech +- benchmark +- evaluation +- text-to-speech +- acoustics +--- + +# DEAF + +DEAF is a collection of audio data, aligned text metadata, and data-generation scripts accompanying the paper [DEAF: A Benchmark for Diagnostic Evaluation of Acoustic Faithfulness in Audio Language Models](https://arxiv.org/abs/2603.18048). + +This repository is organized as a Hugging Face dataset repository and contains the locally hosted resources used in the paper: BSC audio, SIC audio, paired text metadata, and the scripts used to generate the speech-related subsets. + +## Repository structure + +| Path | Description | +|------|-------------| +| `Data/Audio/BSC/` | 84 BSC audio files. | +| `Data/Audio/SIC/` | 248 SIC audio files. | +| `Data/metadata/BSC.csv` | Text metadata for the BSC subset. | +| `Data/metadata/SIC.csv` | Text metadata for the SIC subset. | +| `Code For Speech Generation/` | Scripts used to generate and process the BSC and SIC data. | + +## Data overview + +- `BSC.csv` contains 84 rows with two columns: `code` and `sentence`. +- `Data/Audio/BSC/` contains 84 corresponding `.wav` files. +- `SIC.csv` contains 82 rows with two columns: `code` and `sentence`. +- `Data/Audio/SIC/` contains 248 `.wav` files. + +The number of SIC audio files is larger than the number of SIC metadata rows because the same text prompts are realized with multiple speaker/profile combinations, as reflected in the filenames. + +## Intended use + +DEAF is intended for research use, especially: + +- benchmarking acoustic faithfulness in audio language models, +- studying robustness of speech generation and speech understanding systems, +- analyzing how textual prompts map to generated or synthesized speech under different acoustic conditions. + +## Data fields + +Both metadata files use the same schema: + +- `code`: sample identifier used to align metadata with audio filenames or prompt templates, +- `sentence`: the text content associated with the audio sample. + +Examples: + +```text +code,sentence +DKITCHEN_E01,"I'm cooking dinner in the kitchen, preparing food slowly while enjoying the quiet routine." +GDR_EX_F_01,"As a mother of three, I have learned to balance work, family, and personal responsibilities while always trying to set a good example for my children." +``` + +## Audio format + +- Audio files are stored as `.wav`. +- The speech-generation scripts indicate a workflow targeting 16 kHz WAV output for generated assets. +- Users should verify any subset-specific preprocessing assumptions directly from the scripts before large-scale reuse. + +## Included code + +The repository includes the scripts used to build parts of the dataset: + +- `Code For Speech Generation/BSC/edgeTTS.py`: speech synthesis for the BSC pipeline. +- `Code For Speech Generation/BSC/mp3_to_wav.py`: conversion of generated and source audio into WAV format. +- `Code For Speech Generation/BSC/addNoise.py`: noise augmentation and mixing for BSC samples. +- `Code For Speech Generation/SIC/SIC_audio_generation.py`: end-to-end generation script for the SIC subset. + +## Not included + +ESC data referenced in the paper are not hosted in this repository. Please obtain them from the source described in [arXiv:2510.25054](https://arxiv.org/abs/2510.25054). + +## Citation + +If you use this repository or the associated paper, please cite: + +```bibtex +@misc{xiong2026deaf, + title = {DEAF: A Benchmark for Diagnostic Evaluation of Acoustic Faithfulness in Audio Language Models}, + author = {Jiaqi Xiong and Yunjia Qi and Qi Cao and Yu Zheng and Yutong Zhang and Ziteng Wang and Ruofan Liao and Weisheng Xu and Sichen Liu}, + year = {2026}, + eprint = {2603.18048}, + archivePrefix = {arXiv}, + primaryClass = {cs.AI}, + url = {https://arxiv.org/abs/2603.18048} +} +``` + +## License + +The YAML header currently uses `license: other` as a placeholder. Replace it with the actual license that applies to the audio, metadata, and generation code before publishing the dataset publicly.