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comparisons/cesame.log

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+/home/spice/projects/tts-model-exploration/speech-dev-remi/comparisons/gen_cesame.py:75: UserWarning: WARNING: Unsloth should be imported before [transformers, peft] to ensure all optimizations are applied. Your code may run slower or encounter memory issues without these optimizations.
+
+Please restructure your imports with 'import unsloth' at the top of your file.
+  from unsloth import FastModel
+============================================================
+CESAME CSM BASELINE (4-bit)
+============================================================
+🦥 Unsloth: Will patch your computer to enable 2x faster free finetuning.
+🦥 Unsloth Zoo will now patch everything to make training faster!
+==((====))==  Unsloth 2026.2.1: Fast Csm patching. Transformers: 4.52.3.
+   \\   /|    NVIDIA RTX 6000 Ada Generation. Num GPUs = 1. Max memory: 47.382 GB. Platform: Linux.
+O^O/ \_/ \    Torch: 2.10.0+cu128. CUDA: 8.9. CUDA Toolkit: 12.8. Triton: 3.6.0
+\        /    Bfloat16 = TRUE. FA [Xformers = 0.0.35. FA2 = False]
+ "-____-"     Free license: http://github.com/unslothai/unsloth
+Unsloth: Fast downloading is enabled - ignore downloading bars which are red colored!
+unsloth/csm-1b does not have a padding token! Will use pad_token = <|PAD_TOKEN|>.
+  [neut_book_s06_0336] Azora fit l'éloge du défunt ; mais elle avoua qu'i...
+    OK (10.0s)
+  [neut_book_s08_0163] Le lendemain, dès le lever du jour, Cyrus Smith et...
+    OK (10.0s)
+  [neut_book_s09_0091] À une certaine époque, la terre n'était formée que...
+    OK (10.0s)
+  [neut_book_s09_0307] L'île Tabor, sorte de côte basse, à peine émergée ...
+    OK (7.5s)
+  [neut_parl_s01_0429] A défaut, je suggérerai à l'Assemblée de le rejete...
+    OK (4.9s)
+  [neut_parl_s01_0715] Si peu de choses furent au rendez-vous !...
+    OK (4.4s)
+  [neut_parl_s02_0152] Là, vous évoquez les difficultés de quelques branc...
+    OK (9.3s)
+  [neut_parl_s03_0695] Nous refusons ce deux poids, deux mesures....
+    OK (5.7s)
+  [neut_parl_s03_0704] En première lecture, onze jours et onze nuits ont ...
+    OK (6.5s)
+  [neut_parl_s05_0355] Cela ne changera rien à la compétitivité du pays o...
+    OK (3.7s)
+
+============================================================
+CESAME CSM FINETUNED (4-bit + LoRA)
+============================================================
+Loading LoRA from /home/spice/projects/tts-model-exploration/finetuning/cesame/lora_cesame_v2...
+LoRA loaded
+  [neut_book_s06_0336] Azora fit l'éloge du défunt ; mais elle avoua qu'i...
+    OK (5.3s)
+  [neut_book_s08_0163] Le lendemain, dès le lever du jour, Cyrus Smith et...
+    OK (9.5s)
+  [neut_book_s09_0091] À une certaine époque, la terre n'était formée que...
+    OK (9.4s)
+  [neut_book_s09_0307] L'île Tabor, sorte de côte basse, à peine émergée ...
+    OK (6.0s)
+  [neut_parl_s01_0429] A défaut, je suggérerai à l'Assemblée de le rejete...
+    OK (3.3s)
+  [neut_parl_s01_0715] Si peu de choses furent au rendez-vous !...
+    OK (2.2s)
+  [neut_parl_s02_0152] Là, vous évoquez les difficultés de quelques branc...
+    OK (3.6s)
+  [neut_parl_s03_0695] Nous refusons ce deux poids, deux mesures....
+    OK (2.8s)
+  [neut_parl_s03_0704] En première lecture, onze jours et onze nuits ont ...
+    OK (5.6s)
+  [neut_parl_s05_0355] Cela ne changera rien à la compétitivité du pays o...
+    OK (4.2s)
+
+Copying original SIWIS audio...
+
+Done!

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comparisons/gen_cesame.py

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+#!/usr/bin/env python3
+"""Generate 10 proof_unseen texts with CeSAMe baseline + finetuned (LoRA)."""
+import torch
+import soundfile as sf
+import numpy as np
+import shutil
+from pathlib import Path
+from transformers import CsmForConditionalGeneration, AutoProcessor
+from peft import PeftModel
+
+TEXTS = {
+    "neut_book_s06_0336": "Azora fit l'éloge du défunt ; mais elle avoua qu'il avait des défauts dont Cador était exempt.",
+    "neut_book_s08_0163": "Le lendemain, dès le lever du jour, Cyrus Smith et Ayrton, montant le chariot attelé des deux onaggas, prenaient la route du corral et y couraient au grand trot.",
+    "neut_book_s09_0091": "À une certaine époque, la terre n'était formée que d'une écorce élastique, soumise à des mouvements alternatifs de haut et de bas, en vertu des lois de l'attraction.",
+    "neut_book_s09_0307": "L'île Tabor, sorte de côte basse, à peine émergée des flots, n'était pas éloignée de plus de quinze milles.",
+    "neut_parl_s01_0429": "A défaut, je suggérerai à l'Assemblée de le rejeter.",
+    "neut_parl_s01_0715": "Si peu de choses furent au rendez-vous !",
+    "neut_parl_s02_0152": "Là, vous évoquez les difficultés de quelques branches spécifiques.",
+    "neut_parl_s03_0695": "Nous refusons ce deux poids, deux mesures.",
+    "neut_parl_s03_0704": "En première lecture, onze jours et onze nuits ont été consacrés à ce texte.",
+    "neut_parl_s05_0355": "Cela ne changera rien à la compétitivité du pays ou au chômage.",
+}
+
+OUTPUT_DIR = Path("/home/spice/projects/tts-model-exploration/speech-dev-remi/comparisons/cesame")
+LORA_PATH = Path("/home/spice/projects/tts-model-exploration/finetuning/cesame/lora_cesame_v2")
+SAMPLE_RATE = 24000
+
+device = torch.device("cuda:0")
+
+
+def generate_all(model, processor, output_subdir):
+    output_subdir.mkdir(parents=True, exist_ok=True)
+    for stem, text in TEXTS.items():
+        print(f"  [{stem}] {text[:50]}...")
+        try:
+            text_with_speaker = f"[0]{text}"
+            inputs = processor(text_with_speaker, add_special_tokens=True, return_tensors="pt").to(device)
+
+            with torch.no_grad():
+                audio_output = model.generate(**inputs, output_audio=True)
+
+            if isinstance(audio_output, (list, tuple)) and len(audio_output) > 0:
+                if isinstance(audio_output[0], torch.Tensor):
+                    audio = audio_output[0].to(torch.float32).cpu().numpy()
+                elif hasattr(audio_output[0], 'audio_values'):
+                    audio = audio_output[0].audio_values.squeeze().to(torch.float32).cpu().numpy()
+                else:
+                    raise ValueError(f"Unexpected type: {type(audio_output[0])}")
+            elif hasattr(audio_output, 'audio_values'):
+                audio = audio_output.audio_values.squeeze().to(torch.float32).cpu().numpy()
+            elif isinstance(audio_output, torch.Tensor):
+                audio = audio_output.squeeze().to(torch.float32).cpu().numpy()
+            else:
+                raise ValueError(f"Unexpected output: {type(audio_output)}")
+
+            audio = audio.astype("float32").flatten()
+            peak = np.max(np.abs(audio))
+            if peak > 1.0:
+                audio = audio / peak * 0.99
+
+            sf.write(str(output_subdir / f"{stem}.wav"), audio, SAMPLE_RATE)
+            print(f"    OK ({len(audio)/SAMPLE_RATE:.1f}s)")
+        except Exception as e:
+            print(f"    ERROR: {e}")
+            import traceback; traceback.print_exc()
+
+
+def main():
+    OUTPUT_DIR.mkdir(parents=True, exist_ok=True)
+
+    # --- Baseline (4-bit) ---
+    print("=" * 60)
+    print("CESAME CSM BASELINE (4-bit)")
+    print("=" * 60)
+    from unsloth import FastModel
+    model, _tokenizer = FastModel.from_pretrained(
+        model_name="unsloth/csm-1b",
+        max_seq_length=2048,
+        dtype=None,
+        auto_model=CsmForConditionalGeneration,
+        load_in_4bit=True,
+    )
+    processor = AutoProcessor.from_pretrained("unsloth/csm-1b")
+    model.eval()
+
+    generate_all(model, processor, OUTPUT_DIR / "baseline")
+
+    # --- Finetuned (4-bit + LoRA) ---
+    print("\n" + "=" * 60)
+    print("CESAME CSM FINETUNED (4-bit + LoRA)")
+    print("=" * 60)
+    print(f"Loading LoRA from {LORA_PATH}...")
+
+    # Apply LoRA adapter
+    model = PeftModel.from_pretrained(model, str(LORA_PATH))
+    model.eval()
+    print("LoRA loaded")
+
+    generate_all(model, processor, OUTPUT_DIR / "finetuned")
+
+    # Copy originals
+    print("\nCopying original SIWIS audio...")
+    (OUTPUT_DIR / "original").mkdir(exist_ok=True)
+    siwis_wavs = Path("/home/spice/speech/app/liquid-audio/french_finetuning/data/raw/siwis/SiwisFrenchSpeechSynthesisDatabase/wavs")
+    for stem in TEXTS:
+        src = list(siwis_wavs.rglob(f"{stem}.wav"))
+        if src:
+            shutil.copy2(src[0], OUTPUT_DIR / "original" / f"{stem}.wav")
+
+    print("\nDone!")
+
+
+if __name__ == "__main__":
+    main()

comparisons/gen_qwen3tts.py

@@ -0,0 +1,103 @@
+#!/usr/bin/env python3
+"""Generate 10 proof_unseen texts with Qwen3-TTS baseline + finetuned."""
+import sys
+import torch
+import soundfile as sf
+import numpy as np
+import shutil
+from pathlib import Path
+
+sys.path.insert(0, str(Path("/home/spice/projects/tts-model-exploration/Qwen3-TTS")))
+
+from qwen_tts import Qwen3TTSModel
+
+TEXTS = {
+    "neut_book_s06_0336": "Azora fit l'éloge du défunt ; mais elle avoua qu'il avait des défauts dont Cador était exempt.",
+    "neut_book_s08_0163": "Le lendemain, dès le lever du jour, Cyrus Smith et Ayrton, montant le chariot attelé des deux onaggas, prenaient la route du corral et y couraient au grand trot.",
+    "neut_book_s09_0091": "À une certaine époque, la terre n'était formée que d'une écorce élastique, soumise à des mouvements alternatifs de haut et de bas, en vertu des lois de l'attraction.",
+    "neut_book_s09_0307": "L'île Tabor, sorte de côte basse, à peine émergée des flots, n'était pas éloignée de plus de quinze milles.",
+    "neut_parl_s01_0429": "A défaut, je suggérerai à l'Assemblée de le rejeter.",
+    "neut_parl_s01_0715": "Si peu de choses furent au rendez-vous !",
+    "neut_parl_s02_0152": "Là, vous évoquez les difficultés de quelques branches spécifiques.",
+    "neut_parl_s03_0695": "Nous refusons ce deux poids, deux mesures.",
+    "neut_parl_s03_0704": "En première lecture, onze jours et onze nuits ont été consacrés à ce texte.",
+    "neut_parl_s05_0355": "Cela ne changera rien à la compétitivité du pays ou au chômage.",
+}
+
+OUTPUT_DIR = Path("/home/spice/projects/tts-model-exploration/speech-dev-remi/comparisons/qwen3tts")
+FINETUNED_PATH = Path("/home/spice/projects/tts-model-exploration/Qwen3-TTS/finetuning/output_v2/checkpoint-best")
+BASELINE_MODEL_ID = "Qwen/Qwen3-TTS-12Hz-1.7B-CustomVoice"
+
+device = torch.device("cuda:0")
+
+
+def generate_all(model, output_subdir, speaker="Ryan", language="French"):
+    output_subdir.mkdir(parents=True, exist_ok=True)
+    for stem, text in TEXTS.items():
+        print(f"  [{stem}] {text[:50]}...")
+        try:
+            with torch.no_grad():
+                wavs, sr = model.generate_custom_voice(
+                    text=text, language=language, speaker=speaker,
+                )
+            audio = wavs[0]
+            if isinstance(audio, torch.Tensor):
+                audio = audio.cpu().numpy()
+            audio = audio.astype("float32").flatten()
+            peak = np.max(np.abs(audio))
+            if peak > 1.0:
+                audio = audio / peak * 0.99
+            sf.write(str(output_subdir / f"{stem}.wav"), audio, sr)
+            print(f"    OK ({len(audio)/sr:.1f}s)")
+        except Exception as e:
+            print(f"    ERROR: {e}")
+
+
+def main():
+    OUTPUT_DIR.mkdir(parents=True, exist_ok=True)
+
+    try:
+        import flash_attn
+        attn_impl = "flash_attention_2"
+    except ImportError:
+        attn_impl = "sdpa"
+
+    # --- Baseline ---
+    print("=" * 60)
+    print("QWEN3-TTS BASELINE")
+    print("=" * 60)
+    model = Qwen3TTSModel.from_pretrained(
+        BASELINE_MODEL_ID, device_map=str(device),
+        dtype=torch.bfloat16, attn_implementation=attn_impl,
+    )
+    generate_all(model, OUTPUT_DIR / "baseline")
+    del model
+    torch.cuda.empty_cache()
+
+    # --- Finetuned ---
+    print("\n" + "=" * 60)
+    print("QWEN3-TTS FINETUNED")
+    print("=" * 60)
+    print(f"Loading from {FINETUNED_PATH}...")
+    model = Qwen3TTSModel.from_pretrained(
+        str(FINETUNED_PATH), device_map=str(device),
+        dtype=torch.bfloat16, attn_implementation=attn_impl,
+    )
+    generate_all(model, OUTPUT_DIR / "finetuned", speaker="SIWIS_French")
+    del model
+    torch.cuda.empty_cache()
+
+    # Copy originals
+    print("\nCopying original SIWIS audio...")
+    (OUTPUT_DIR / "original").mkdir(exist_ok=True)
+    siwis_wavs = Path("/home/spice/speech/app/liquid-audio/french_finetuning/data/raw/siwis/SiwisFrenchSpeechSynthesisDatabase/wavs")
+    for stem in TEXTS:
+        src = list(siwis_wavs.rglob(f"{stem}.wav"))
+        if src:
+            shutil.copy2(src[0], OUTPUT_DIR / "original" / f"{stem}.wav")
+
+    print("\nDone!")
+
+
+if __name__ == "__main__":
+    main()

comparisons/gen_vibevoice.py

@@ -0,0 +1,143 @@
+#!/usr/bin/env python3
+"""Generate 10 proof_unseen texts with VibeVoice baseline + finetuned."""
+import torch
+import copy
+import soundfile as sf
+import numpy as np
+from pathlib import Path
+from safetensors.torch import load_file
+
+from vibevoice.modular.modeling_vibevoice_streaming_inference import (
+    VibeVoiceStreamingForConditionalGenerationInference,
+)
+from vibevoice.processor.vibevoice_streaming_processor import (
+    VibeVoiceStreamingProcessor,
+)
+
+TEXTS = {
+    "neut_book_s06_0336": "Azora fit l'éloge du défunt ; mais elle avoua qu'il avait des défauts dont Cador était exempt.",
+    "neut_book_s08_0163": "Le lendemain, dès le lever du jour, Cyrus Smith et Ayrton, montant le chariot attelé des deux onaggas, prenaient la route du corral et y couraient au grand trot.",
+    "neut_book_s09_0091": "À une certaine époque, la terre n'était formée que d'une écorce élastique, soumise à des mouvements alternatifs de haut et de bas, en vertu des lois de l'attraction.",
+    "neut_book_s09_0307": "L'île Tabor, sorte de côte basse, à peine émergée des flots, n'était pas éloignée de plus de quinze milles.",
+    "neut_parl_s01_0429": "A défaut, je suggérerai à l'Assemblée de le rejeter.",
+    "neut_parl_s01_0715": "Si peu de choses furent au rendez-vous !",
+    "neut_parl_s02_0152": "Là, vous évoquez les difficultés de quelques branches spécifiques.",
+    "neut_parl_s03_0695": "Nous refusons ce deux poids, deux mesures.",
+    "neut_parl_s03_0704": "En première lecture, onze jours et onze nuits ont été consacrés à ce texte.",
+    "neut_parl_s05_0355": "Cela ne changera rien à la compétitivité du pays ou au chômage.",
+}
+
+OUTPUT_DIR = Path("/home/spice/projects/tts-model-exploration/speech-dev-remi/comparisons/vibevoice")
+FINETUNED_WEIGHTS = Path("/home/spice/projects/tts-model-exploration/finetuning_vibevoice/outputs/full_ft_vibevoice/tts_lm_best.safetensors")
+VOICES_DIR = Path("/home/spice/speech/VibeVoice/demo/voices/streaming_model")
+SAMPLE_RATE = 24000
+
+device = torch.device("cuda:0")
+
+
+def load_model():
+    model_path = "microsoft/VibeVoice-Realtime-0.5B"
+    processor = VibeVoiceStreamingProcessor.from_pretrained(model_path)
+    try:
+        model = VibeVoiceStreamingForConditionalGenerationInference.from_pretrained(
+            model_path, torch_dtype=torch.bfloat16, device_map=str(device),
+            attn_implementation="flash_attention_2",
+        )
+    except Exception:
+        model = VibeVoiceStreamingForConditionalGenerationInference.from_pretrained(
+            model_path, torch_dtype=torch.bfloat16, device_map=str(device),
+            attn_implementation="sdpa",
+        )
+    model.eval()
+    model.set_ddpm_inference_steps(num_steps=5)
+    return model, processor
+
+
+def generate_sample(model, processor, text, voice_prompt):
+    inputs = processor.process_input_with_cached_prompt(
+        text=text, cached_prompt=voice_prompt,
+        padding=True, return_tensors="pt", return_attention_mask=True,
+    )
+    for k, v in inputs.items():
+        if torch.is_tensor(v):
+            inputs[k] = v.to(device)
+
+    max_tokens = min(max(int(len(text) * 3.0) + 100, 200), 800)
+
+    with torch.no_grad():
+        outputs = model.generate(
+            **inputs, max_new_tokens=max_tokens, cfg_scale=1.5,
+            tokenizer=processor.tokenizer,
+            generation_config={'do_sample': False}, verbose=False,
+            all_prefilled_outputs=copy.deepcopy(voice_prompt),
+        )
+
+    if not outputs.speech_outputs or outputs.speech_outputs[0] is None:
+        return None
+    audio = outputs.speech_outputs[0].cpu().float().numpy().flatten()
+    peak = np.max(np.abs(audio))
+    if peak > 1.0:
+        audio = audio / peak * 0.99
+    return audio
+
+
+def main():
+    OUTPUT_DIR.mkdir(parents=True, exist_ok=True)
+    (OUTPUT_DIR / "baseline").mkdir(exist_ok=True)
+    (OUTPUT_DIR / "finetuned").mkdir(exist_ok=True)
+
+    voice_prompt = torch.load(
+        VOICES_DIR / "fr-Spk0_man.pt", map_location=device, weights_only=False
+    )
+
+    # --- Baseline ---
+    print("=" * 60)
+    print("VIBEVOICE BASELINE")
+    print("=" * 60)
+    model, processor = load_model()
+
+    for stem, text in TEXTS.items():
+        print(f"  [{stem}] {text[:50]}...")
+        audio = generate_sample(model, processor, text, voice_prompt)
+        if audio is not None:
+            sf.write(str(OUTPUT_DIR / "baseline" / f"{stem}.wav"), audio, SAMPLE_RATE)
+            print(f"    OK ({len(audio)/SAMPLE_RATE:.1f}s)")
+        else:
+            print("    FAILED")
+
+    # --- Finetuned ---
+    print("\n" + "=" * 60)
+    print("VIBEVOICE FINETUNED")
+    print("=" * 60)
+
+    # Load finetuned tts_language_model weights
+    print(f"Loading finetuned weights from {FINETUNED_WEIGHTS}...")
+    ft_weights = load_file(str(FINETUNED_WEIGHTS))
+    model.model.tts_language_model.load_state_dict(ft_weights)
+    print("Finetuned weights loaded")
+
+    for stem, text in TEXTS.items():
+        print(f"  [{stem}] {text[:50]}...")
+        audio = generate_sample(model, processor, text, voice_prompt)
+        if audio is not None:
+            sf.write(str(OUTPUT_DIR / "finetuned" / f"{stem}.wav"), audio, SAMPLE_RATE)
+            print(f"    OK ({len(audio)/SAMPLE_RATE:.1f}s)")
+        else:
+            print("    FAILED")
+
+    # Copy originals
+    print("\nCopying original SIWIS audio...")
+    import shutil
+    (OUTPUT_DIR / "original").mkdir(exist_ok=True)
+    siwis_wavs = Path("/home/spice/speech/app/liquid-audio/french_finetuning/data/raw/siwis/SiwisFrenchSpeechSynthesisDatabase/wavs")
+    for stem in TEXTS:
+        src = list(siwis_wavs.rglob(f"{stem}.wav"))
+        if src:
+            shutil.copy2(src[0], OUTPUT_DIR / "original" / f"{stem}.wav")
+            print(f"  {stem} copied")
+
+    print("\nDone!")
+
+
+if __name__ == "__main__":
+    main()

comparisons/qwen3tts.log

@@ -0,0 +1,87 @@
+/bin/sh: 1: sox: not found
+SoX could not be found!
+
+    If you do not have SoX, proceed here:
+     - - - http://sox.sourceforge.net/ - - -
+
+    If you do (or think that you should) have SoX, double-check your
+    path variables.
+    
+
+********
+Warning: flash-attn is not installed. Will only run the manual PyTorch version. Please install flash-attn for faster inference.
+********
+ 
+============================================================
+QWEN3-TTS BASELINE
+============================================================
+
+Setting `pad_token_id` to `eos_token_id`:2150 for open-end generation.
+Setting `pad_token_id` to `eos_token_id`:2150 for open-end generation.
+Setting `pad_token_id` to `eos_token_id`:2150 for open-end generation.
+Setting `pad_token_id` to `eos_token_id`:2150 for open-end generation.
+Setting `pad_token_id` to `eos_token_id`:2150 for open-end generation.
+Setting `pad_token_id` to `eos_token_id`:2150 for open-end generation.
+Setting `pad_token_id` to `eos_token_id`:2150 for open-end generation.
+Setting `pad_token_id` to `eos_token_id`:2150 for open-end generation.
+Setting `pad_token_id` to `eos_token_id`:2150 for open-end generation.
+Setting `pad_token_id` to `eos_token_id`:2150 for open-end generation.
+Setting `pad_token_id` to `eos_token_id`:2150 for open-end generation.
+Setting `pad_token_id` to `eos_token_id`:2150 for open-end generation.
+Setting `pad_token_id` to `eos_token_id`:2150 for open-end generation.
+Setting `pad_token_id` to `eos_token_id`:2150 for open-end generation.
+Setting `pad_token_id` to `eos_token_id`:2150 for open-end generation.
+Setting `pad_token_id` to `eos_token_id`:2150 for open-end generation.
+Setting `pad_token_id` to `eos_token_id`:2150 for open-end generation.
+Setting `pad_token_id` to `eos_token_id`:2150 for open-end generation.
+Setting `pad_token_id` to `eos_token_id`:2150 for open-end generation.
+Setting `pad_token_id` to `eos_token_id`:2150 for open-end generation.
+  [neut_book_s06_0336] Azora fit l'éloge du défunt ; mais elle avoua qu'i...
+    OK (6.5s)
+  [neut_book_s08_0163] Le lendemain, dès le lever du jour, Cyrus Smith et...
+    OK (38.3s)
+  [neut_book_s09_0091] À une certaine époque, la terre n'était formée que...
+    OK (14.6s)
+  [neut_book_s09_0307] L'île Tabor, sorte de côte basse, à peine émergée ...
+    OK (17.2s)
+  [neut_parl_s01_0429] A défaut, je suggérerai à l'Assemblée de le rejete...
+    OK (4.2s)
+  [neut_parl_s01_0715] Si peu de choses furent au rendez-vous !...
+    OK (4.4s)
+  [neut_parl_s02_0152] Là, vous évoquez les difficultés de quelques branc...
+    OK (4.4s)
+  [neut_parl_s03_0695] Nous refusons ce deux poids, deux mesures....
+    OK (2.9s)
+  [neut_parl_s03_0704] En première lecture, onze jours et onze nuits ont ...
+    OK (5.6s)
+  [neut_parl_s05_0355] Cela ne changera rien à la compétitivité du pays o...
+    OK (5.4s)
+
+============================================================
+QWEN3-TTS FINETUNED
+============================================================
+Loading from /home/spice/projects/tts-model-exploration/Qwen3-TTS/finetuning/output_v2/checkpoint-best...
+  [neut_book_s06_0336] Azora fit l'éloge du défunt ; mais elle avoua qu'i...
+    OK (5.4s)
+  [neut_book_s08_0163] Le lendemain, dès le lever du jour, Cyrus Smith et...
+    OK (9.0s)
+  [neut_book_s09_0091] À une certaine époque, la terre n'était formée que...
+    OK (8.5s)
+  [neut_book_s09_0307] L'île Tabor, sorte de côte basse, à peine émergée ...
+    OK (6.8s)
+  [neut_parl_s01_0429] A défaut, je suggérerai à l'Assemblée de le rejete...
+    OK (3.5s)
+  [neut_parl_s01_0715] Si peu de choses furent au rendez-vous !...
+    OK (2.2s)
+  [neut_parl_s02_0152] Là, vous évoquez les difficultés de quelques branc...
+    OK (4.3s)
+  [neut_parl_s03_0695] Nous refusons ce deux poids, deux mesures....
+    OK (3.4s)
+  [neut_parl_s03_0704] En première lecture, onze jours et onze nuits ont ...
+    OK (4.9s)
+  [neut_parl_s05_0355] Cela ne changera rien à la compétitivité du pays o...
+    OK (4.4s)
+
+Copying original SIWIS audio...
+
+Done!

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