26,000+ hours of consented, unscripted video interview recordings. Single-speaker spontaneous speech with ASR transcripts, timestamped at the sentence level. 205 accents across 31 languages.
60-second excerpt from a US English interview. Speaker discusses a workplace scenario โ typical of the dataset's spontaneous, unscripted speech style.
16 kHz ยท mono ยท PCM 16-bit
91.6% English with global accent diversity. 30+ non-English languages with 1+ hour each. 20 accents exceed 100 hours.
| Region | Key Countries | Languages |
|---|---|---|
| North America | United States, Canada | English |
| South Asia | India, Pakistan, Bangladesh | English, Hindi, Urdu, Bengali |
| Africa | Nigeria, Kenya, Ghana, South Africa, Egypt | English, French, Arabic |
| Europe | United Kingdom, Germany, France, Poland | English, German, French, Polish |
| Middle East | UAE, Israel | English, Arabic, Hebrew |
| Southeast Asia | Philippines, Singapore | English, Tagalog |
| South America | Argentina, Brazil | Spanish, Portuguese |
Train and evaluate speech-to-text models on diverse accented English and 30+ other languages.
97,000+ unique speakers for training diarization, speaker segmentation, and accent-classification models.
95% mouth visibility. SD video with aligned audio and transcripts for audio-visual speech models.
205 accent categories (language ร country). Study accent variation at scale across global populations.
Unscripted professional speech for language modeling, fluency analysis, and workplace NLP.
Real-world SNR distribution (median 37 dB) for noise robustness benchmarking and enhancement models.
Filter by language, accent, region, clip length, or audio quality. We can deliver exactly the slice you need.
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