Datasets:

jml2026
/

multilingual-accent-speech

license: cc-by-nc-4.0
language:
  - en
  - de
  - es
  - fr
  - pt
  - ru
  - tr
  - vi
  - ja
  - it
  - gu
  - kn
  - ml
  - mr
  - or
  - te
  - ar
  - uk
  - be
  - zh
  - pl
  - sw
  - ha
  - yo
  - zu
  - am
  - ig
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/**
  - config_name: english_algeria
    data_files:
      - split: free_speech
        path: english_algeria/free_speech/**
  - config_name: english_australia
    data_files:
      - split: free_speech
        path: english_australia/free_speech/**
  - config_name: english_belarus
    data_files:
      - split: free_speech
        path: english_belarus/free_speech/**
  - config_name: english_egypt
    data_files:
      - split: free_speech
        path: english_egypt/free_speech/**
  - config_name: english_french_speaking
    data_files:
      - split: free_speech
        path: english_french_speaking/free_speech/**
  - config_name: english_haiti
    data_files:
      - split: free_speech
        path: english_haiti/free_speech/**
  - config_name: english_ireland
    data_files:
      - split: free_speech
        path: english_ireland/free_speech/**
  - config_name: english_jamaica
    data_files:
      - split: free_speech
        path: english_jamaica/free_speech/**
  - config_name: english_kenya
    data_files:
      - split: free_speech
        path: english_kenya/free_speech/**
  - config_name: english_mandarin
    data_files:
      - split: free_speech
        path: english_mandarin/free_speech/**
  - config_name: english_medical
    data_files:
      - split: medical
        path: english_medical/medical/**
  - config_name: english_pakistan
    data_files:
      - split: free_speech
        path: english_pakistan/free_speech/**
  - config_name: english_poland
    data_files:
      - split: free_speech
        path: english_poland/free_speech/**
  - config_name: english_russia
    data_files:
      - split: free_speech
        path: english_russia/free_speech/**
  - config_name: english_south_africa
    data_files:
      - split: free_speech
        path: english_south_africa/free_speech/**
  - config_name: english_uganda
    data_files:
      - split: free_speech
        path: english_uganda/free_speech/**
  - config_name: english_united_kingdom
    data_files:
      - split: free_speech
        path: english_united_kingdom/free_speech/**
  - config_name: english_ukraine
    data_files:
      - split: free_speech
        path: english_ukraine/free_speech/**
  - config_name: french_canada
    data_files:
      - split: free_speech
        path: french_canada/free_speech/**
  - config_name: french_global
    data_files:
      - split: free_speech
        path: french_global/free_speech/**
  - config_name: global_medical
    data_files:
      - split: medical
        path: global_medical/medical/**
  - config_name: gujarati_india
    data_files:
      - split: free_speech
        path: gujarati_india/free_speech/**
  - config_name: italian_italy
    data_files:
      - split: free_speech
        path: italian_italy/free_speech/**
  - config_name: japanese_japan
    data_files:
      - split: free_speech
        path: japanese_japan/free_speech/**
  - config_name: kannada_india
    data_files:
      - split: free_speech
        path: kannada_india/free_speech/**
  - config_name: malayalam_india
    data_files:
      - split: free_speech
        path: malayalam_india/free_speech/**
  - config_name: mandarin_chinese_china
    data_files:
      - split: free_speech
        path: mandarin_chinese_china/free_speech/**
  - config_name: marathi_india
    data_files:
      - split: free_speech
        path: marathi_india/free_speech/**
  - config_name: odia_india
    data_files:
      - split: free_speech
        path: odia_india/free_speech/**
  - config_name: portuguese_brazil
    data_files:
      - split: free_speech
        path: portuguese_brazil/free_speech/**
  - config_name: russian_russia
    data_files:
      - split: free_speech
        path: russian_russia/free_speech/**
  - config_name: telugu_india
    data_files:
      - split: free_speech
        path: telugu_india/free_speech/**
  - config_name: turkish_turkey
    data_files:
      - split: free_speech
        path: turkish_turkey/free_speech/**
      - split: monologues
        path: turkish_turkey/monologues/**
  - config_name: vietnamese_vietnam
    data_files:
      - split: monologues
        path: vietnamese_vietnam/monologues/**
  - config_name: amharic_ethiopia
    data_files:
      - split: free_speech
        path: amharic_ethiopia/free_speech/**
  - config_name: hausa_nigeria
    data_files:
      - split: free_speech
        path: hausa_nigeria/free_speech/**
  - config_name: igbo_nigeria
    data_files:
      - split: free_speech
        path: igbo_nigeria/free_speech/**
  - config_name: yoruba_nigeria
    data_files:
      - split: free_speech
        path: yoruba_nigeria/free_speech/**
  - config_name: conversational_english
    data_files:
      - split: conversations
        path: conversational_english/conversations/**
size_categories:
  - 1K<n<10K

🎙️ 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 43 language–region configs across 20+ languages demonstrating our data quality:

Accented English

Config	Accent/Region	Splits	Samples
`english_algeria`	Algerian	free_speech	21
`english_australia`	Australian	free_speech	25
`english_belarus`	Belarusian	free_speech	21
`english_china`	Mandarin-influenced	free_speech, keywords, monologues	75
`english_egypt`	Egyptian	free_speech	25
`english_french_speaking`	French-speaking countries	free_speech	21
`english_haiti`	Haitian	free_speech	21
`english_ireland`	Irish	free_speech	21
`english_jamaica`	Jamaican	free_speech	25
`english_kenya`	Kenyan	free_speech	25
`english_mandarin`	Mandarin-influenced (Global)	free_speech	25
`english_nigeria`	Nigerian	free_speech, keywords, monologues	75
`english_pakistan`	Pakistani	free_speech	25
`english_poland`	Polish	free_speech	25
`english_russia`	Russian	free_speech	25
`english_south_africa`	South African	free_speech	17
`english_uganda`	Ugandan	free_speech	25
`english_united_kingdom`	British	free_speech	25
`english_united_states`	American	free_speech, keywords, monologues	75
`english_ukraine`	Ukrainian	free_speech	25

African Languages

Config	Language	Region	Splits	Samples
`amharic_ethiopia`	Amharic	Ethiopia	free_speech	51
`hausa_nigeria`	Hausa	Nigeria	free_speech	42
`igbo_nigeria`	Igbo	Nigeria	free_speech	36
`yoruba_nigeria`	Yoruba	Nigeria	free_speech	39

Other Languages

Config	Language	Region	Splits	Samples
`french_canada`	French	Canada	free_speech	25
`french_global`	French	Global	free_speech	25
`german_germany`	German	Germany	free_speech, keywords, monologues	75
`gujarati_india`	Gujarati	India	free_speech	18
`italian_italy`	Italian	Italy	free_speech	25
`japanese_japan`	Japanese	Japan	free_speech	25
`kannada_india`	Kannada	India	free_speech	25
`malayalam_india`	Malayalam	India	free_speech	25
`mandarin_chinese_china`	Mandarin	China	free_speech	25
`marathi_india`	Marathi	India	free_speech	25
`odia_india`	Odia	India	free_speech	21
`portuguese_brazil`	Portuguese	Brazil	free_speech	25
`russian_russia`	Russian	Russia	free_speech	25
`spanish_mexico`	Spanish	Mexico	free_speech, keywords, monologues	56
`telugu_india`	Telugu	India	free_speech	25
`turkish_turkey`	Turkish	Turkey	free_speech, monologues	32
`vietnamese_vietnam`	Vietnamese	Vietnam	monologues	15

Medical Domain

Config	Language	Splits	Samples
`english_medical`	English	medical	8
`global_medical`	Multilingual (EN/ES/DE)	medical	25

Conversational

Config	Language	Splits	Meetings	Participants	Audio Columns
`conversational_english`	English	conversations	4	8	speaker_audio, single_channel, multi_channel

Each row contains 3 audio files (individual speaker, full meeting single-channel, full meeting multi-channel) plus word-level meeting transcripts with speaker turns and timestamps.

🚀 Quick Start

from datasets import load_dataset

# Load Nigerian English samples
ds = load_dataset("SilencioNetwork/complete-voiceai-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}
}