--- license: cc-by-nc-4.0 language: - en - de - es - sw - ha - yo - zu multilinguality: - multilingual task_categories: - automatic-speech-recognition - audio-classification - text-to-speech tags: - voice-ai - speech-data - accent - emotion - african-languages - multilingual - asr - tts - conversational-ai - real-world-audio - crowdsourced pretty_name: "🎙️ Silencio Voice AI Sample Dataset" dataset_info: features: - name: file_name dtype: string - name: id dtype: int64 - name: gender dtype: string - name: ethnicity dtype: string - name: occupation dtype: string - name: country_code dtype: string - name: birth_place dtype: string - name: mother_tongue dtype: string - name: dialect dtype: string - name: year_of_birth dtype: int64 - name: years_at_birth_place dtype: int64 - name: languages_data dtype: string - name: os dtype: string - name: device dtype: string - name: browser dtype: string - name: duration dtype: float64 - name: emotions dtype: string - name: language dtype: string - name: location dtype: string - name: noise_sources dtype: string - name: script_id dtype: int64 - name: type_of_script dtype: string - name: script dtype: string - name: transcript dtype: string - name: speaker_id dtype: string configs: - config_name: spanish_mexico data_files: - split: free_speech path: spanish_mexico/free_speech/** - split: keywords path: spanish_mexico/keywords/** - split: monologues path: spanish_mexico/monologues/** - config_name: english_china data_files: - split: free_speech path: english_china/free_speech/** - split: keywords path: english_china/keywords/** - split: monologues path: english_china/monologues/** - config_name: english_nigeria data_files: - split: free_speech path: english_nigeria/free_speech/** - split: keywords path: english_nigeria/keywords/** - split: monologues path: english_nigeria/monologues/** - config_name: english_united_states data_files: - split: free_speech path: english_united_states/free_speech/** - split: keywords path: english_united_states/keywords/** - split: monologues path: english_united_states/monologues/** - config_name: german_germany data_files: - split: free_speech path: german_germany/free_speech/** - split: keywords path: german_germany/keywords/** - split: monologues path: german_germany/monologues/** size_categories: - n<1K --- # 🎙️ Silencio Network: Voice AI Sample Dataset

[![Website](https://img.shields.io/badge/Website-silencioai.com-blue?style=flat-square)](https://www.silencioai.com) [![Contact](https://img.shields.io/badge/Contact-sofia@silencioai.com-green?style=flat-square)](mailto:sofia@silencioai.com) [![Data Available](https://img.shields.io/badge/Full_Corpus-100,000+_hours-orange?style=flat-square)](mailto:sofia@silencioai.com) --- > **📊 This is a sample.** The full Silencio corpus contains **100,000+ hours** across **170+ countries** and **100+ languages**. > > **📧 Contact:** [sofia@silencioai.com](mailto:sofia@silencioai.com) for custom datasets, bulk licensing, or specific language requests. --- ## 🌍 Why Silencio Data? Silencio data is collected **in the wild** from a massive, opt-in community (**2M+ contributors** across **180+ countries**), giving you: - ✅ **Real-world accents, dialects, devices, and environments** that lab or scraped datasets don't capture - ✅ **Explicit, traceable consent** — every recording tied to verified opt-in (GDPR/CCPA compliant) - ✅ **Privacy-first pipelines** — anonymized, PII hashed, reduced legal risk for enterprise - ✅ **Rapid scaling** into hard-to-source languages and niches ## 📊 Full Data Availability | Category | Available | Top Languages | |----------|-----------|---------------| | **African Languages** | 25,000+ hrs | Swahili (9.7k), Nigerian English (8.1k), Hausa, Yoruba, Zulu | | **Asian Languages** | 15,000+ hrs | Hindi, Mandarin, Japanese, Korean, Vietnamese | | **European Languages** | 20,000+ hrs | German, Spanish, French, Portuguese, Polish | | **Emotional Speech** | 5,000+ hrs | Joy, anger, sadness, fear, surprise, neutral | | **Multi-Speaker** | 10,000+ hrs | Overlapping speech, turn-taking, interruptions | | **Conversational** | 30,000+ hrs | Natural dialogue, disfluencies, backchannels | **Custom requests?** We can source virtually any language, accent, or demographic at scale. --- ## 🎯 This Sample Dataset This sample covers **five language–region pairs** demonstrating our data quality: | Config | Language | Accent/Region | Recordings | Duration | |--------|----------|---------------|------------|----------| | `english_nigeria` | English | Nigerian | 75 | 1.01 hrs | | `english_china` | English | Mandarin-influenced | 75 | 0.96 hrs | | `english_united_states` | English | American | 75 | 0.80 hrs | | `spanish_mexico` | Spanish | Mexican | 56 | 0.77 hrs | | `german_germany` | German | Native German | 75 | 0.73 hrs | | **Total** | | | **356** | **4.29 hrs** | ## 🚀 Quick Start ```python from datasets import load_dataset # Load Nigerian English samples ds = load_dataset("SilencioNetwork/voiceai-sample-speech-dataset", "english_nigeria") # Access different speech types free_speech = ds['free_speech'] keywords = ds['keywords'] monologues = ds['monologues'] # Process a sample for sample in free_speech: audio = sample['audio'] transcript = sample['transcript'] speaker_id = sample['speaker_id'] emotion = sample['emotions'] print(f"Speaker {speaker_id}: {transcript[:50]}...") ``` ## 🎤 Speech Types | Type | Description | Use Cases | |------|-------------|-----------| | `free_speech` | Unscripted speech on provided topics | Conversational AI, dialogue systems | | `keywords` | Short isolated phrases/terms | Wake word detection, command recognition | | `monologues` | Longer scripted passages | TTS training, ASR benchmarking | ## 📋 Rich Metadata Every recording includes: - **Speaker demographics**: gender, ethnicity, occupation, birth year, birth place - **Linguistic info**: mother tongue, dialect, language proficiency data - **Recording context**: device, OS, browser, location, background noise - **Content**: script, Whisper-generated transcript, emotion labels - **Technical**: duration, 48kHz WAV format ## 🎯 Ideal For - 🗣️ **ASR training** — accent-robust speech recognition - 🔊 **TTS development** — diverse voice synthesis - 😊 **Emotion recognition** — labeled emotional speech - 🌍 **Multilingual models** — 100+ languages available - 🎙️ **Speaker verification** — unique speaker embeddings - 📊 **Benchmarking** — real-world robustness testing ## ⚖️ License **CC BY-NC 4.0** — Free for research and non-commercial use. For **commercial licensing**, contact [sofia@silencioai.com](mailto:sofia@silencioai.com). ## 📧 Get More Data **Need the full corpus?** This sample represents <0.01% of our available data. | What You Need | We Can Provide | |---------------|----------------| | Specific language/accent | ✅ 100+ languages available | | Emotional speech | ✅ 5,000+ hours labeled | | Multi-speaker/overlapping | ✅ 10,000+ hours | | Custom demographics | ✅ Age, gender, occupation targeting | | Bulk volume | ✅ 100,000+ hours total | **📧 Email:** [sofia@silencioai.com](mailto:sofia@silencioai.com) **🌐 Website:** [silencioai.com](https://www.silencioai.com) --- ## Citation ```bibtex @dataset{silencio_network_speech_2025, title = {Silencio Network Voice AI Speech Corpus}, author = {Silencio Network}, year = {2025}, publisher = {Hugging Face}, license = {CC BY-NC 4.0} } ```