README.md

metadata

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

---

📊 This is a sample. The full Silencio corpus contains 100,000+ hours across 170+ countries and 100+ languages.

📧 Contact: 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

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.

📧 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

🌐 Website: silencioai.com

---

Citation

@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}
}