Audio · TextAdvertised
Tagalog(the Philippines) Spontaneous Dialogue Telephony speech dataset, collected from dialogues based on given topics.
- Language
- Tagalog
- Volume
- 147 h
- Domain
- AI & Machine Learning +1
- Use case
- Speech recognition
Audio · TextAdvertised
Turkish Spontaneous Dialogue Smartphone speech dataset, collected from dialogues based on given topics.
- Language
- Turkish
- Volume
- 389 h
- Domain
- AI & Machine Learning +1
- Use case
- Speech recognition
Audio · TextAdvertised
This dataset contains over 100,000 hours of office meeting recordings, collected from contributors around the world.
- Language
- —
- Volume
- 100k h
- Domain
- AI & Machine Learning
- Use case
- Speech recognition
Audio · TextAdvertised
This dataset contains over 100,000 hours of phone conversations recordings, collected from contributors around the world.
- Language
- —
- Volume
- 100k h
- Domain
- AI & Machine Learning
- Use case
- Speech recognition
Audio · TextAdvertised
This dataset contains over 10,000 hours of whispered speech recordings, collected from contributors around the world.
- Language
- —
- Volume
- 10k h
- Domain
- AI & Machine Learning
- Use case
- Speech recognition
Audio · TextAdvertised
This dataset contains over 1 million high-quality hours of adult voice conversations, collected from contributors around the world.
- Language
- —
- Volume
- 1M h
- Domain
- AI & Machine Learning
- Use case
- Speech recognition
Audio · TextAdvertised
This dataset contains over 20,000 hours of audio diaries (adults), collected from contributors around the world.
- Language
- —
- Volume
- 20k h
- Domain
- AI & Machine Learning
- Use case
- Speech recognition
Audio · TextAdvertised
This dataset contains over 20,000 hours of debate & discussion audio, collected from contributors around the world.
- Language
- —
- Volume
- 20k h
- Domain
- AI & Machine Learning
- Use case
- Speech recognition
Audio · TextAdvertised
A large-scale multimedia dataset containing 30K+ hours of official government communications recordings captured globally, designed for speech, video, and AI…
- Language
- —
- Volume
- 30k h
- Domain
- AI & Machine Learning
- Use case
- Speech recognition
Audio · TextAdvertised
This dataset contains over 500,000 hours of call center audio recordings, collected from contributors around the world.
- Language
- —
- Volume
- 500k h
- Domain
- AI & Machine Learning
- Use case
- Speech recognition
Audio · TextAdvertised
This dataset contains over 500,000 hours of multilingual conversations recordings, collected from contributors around the world.
- Language
- —
- Volume
- 500k h
- Domain
- AI & Machine Learning
- Use case
- Speech recognition
Audio · TextAdvertised
This dataset contains over 50,000 hours of educational lectures recordings, collected from contributors around the world.
- Language
- —
- Volume
- 50k h
- Domain
- AI & Machine Learning
- Use case
- Speech recognition
Audio · TextAdvertised
A large-scale multimedia dataset containing 5K+ hours of multi-sport audio commentary recorded across diverse sporting events and broadcast environments.
- Language
- —
- Volume
- 5,000 h
- Domain
- AI & Machine Learning
- Use case
- Speech recognition
Audio · TextAdvertised
German(Germany) Unscripted Call Center Telephony speech dataset, covers telecommunications, finance domain, including terms, accents and emotions in call center…
- Language
- —
- Volume
- 138 h
- Domain
- AI & Machine Learning +1
- Use case
- Speech recognition
Audio · Text · MultimodalAdvertised
Specifications: ‣ Volume: 100,000+ hours ‣ Format: 8kHz, mono channel (WAV audio + JSON transcript) ‣ Environment: Studio, podcast-quality recording, podcast audio data…
- Language
- —
- Volume
- 10k h
- Domain
- Education +1
- Use case
- Speech recognition
Audio · TextAdvertised
This dataset offers a large-scale multilingual speech corpus covering 54 global languages, including Arabic, Hindi, English (US/UK/India), Mandarin, Spanish, French, and…
- Language
- —
- Volume
- 3.7M h
- Domain
- Science & Research
- Use case
- Speech recognition
Audio · TextAdvertised
1. Specifications Format: 16kHz, 16 bit, wav, mono channel; Recording environment: Low background noise; Recording content: Including live, variety-show, speech etc;…
- Language
- —
- Volume
- 20k h
- Domain
- AI & Machine Learning +1
- Use case
- Speech recognition
Audio · TextAdvertised
1. Specifications Format : 16kHz, 16bit, uncompressed wav, mono channel Recording environment : quiet indoor environment, without echo Recording content (read speech) :…
- Language
- —
- Volume
- 65k h
- Domain
- AI & Machine Learning +1
- Use case
- Speech recognition
Audio · TextAdvertised
Clean, high-quality unscripted recordings aligned with transcripts, built for training expressive and natural-sounding TTS systems.
- Language
- —
- Volume
- 100k h
- Domain
- AI & Machine Learning +2
- Use case
- Speech recognition
Audio · TextAdvertised
Clean, high-quality unscripted recordings aligned with transcripts, built for training expressive and natural-sounding TTS systems.
- Language
- —
- Volume
- 30k h
- Domain
- AI & Machine Learning +2
- Use case
- Speech recognition
Audio · TextAdvertised
Clean, high-quality unscripted recordings aligned with transcripts, built for training expressive and natural-sounding TTS systems.
- Language
- —
- Volume
- 25k h
- Domain
- AI & Machine Learning +2
- Use case
- Speech recognition
Audio · TextAdvertised
Clean, high-quality scripted recordings aligned with transcripts, built for training expressive and natural-sounding TTS systems.
- Language
- —
- Volume
- 3,000 h
- Domain
- AI & Machine Learning +2
- Use case
- Speech recognition
Audio · TextAdvertised
1. Specifications Format : 44.1 kHz/48 kHz, 16bit/24bit, uncompressed wav, mono channel.
- Language
- —
- Volume
- 400 h
- Domain
- AI & Machine Learning +1
- Use case
- Speech recognition
Audio · TextAdvertised
1. Overview Format: 8kHz 16bit, wav, mono channel Recording condition: Phone recording system, with low background noise (call center scenario) Recording content:…
- Language
- —
- Volume
- 20k h
- Domain
- AI & Machine Learning +1
- Use case
- Speech recognition