AudioAdvertised
Hindi and English Bilingual Spontaneous Monologue smartphone speech dataset, collected from dialogues based on given topics, covering generic domain.
- Language
- English, Hindi
- Volume
- 302 people
- Domain
- AI & Machine Learning +1
- Use case
- Speech recognition
Audio · TextAdvertised
Hindi(India) Spontaneous Dialogue Smartphone speech dataset, collected from dialogues based on given topics, covering 20+ domains.
- Language
- Hindi
- Volume
- 797 h
- Domain
- AI & Machine Learning +1
- Use case
- Speech recognition
AudioAdvertised
Hindi(India) Spontaneous Dialogue Telephony speech dataset, collected from dialogues based on given topics, covering 20+ domains.
- Language
- Hindi
- Volume
- 760 h
- Domain
- AI & Machine Learning +1
- Use case
- Speech recognition
AudioAdvertised
Indonesian(Indonesia) Spontaneous Dialogue Smartphone speech dataset, collected from dialogues based on given topics, covering 20+ domains.
- Language
- Indonesian
- Volume
- 747 h
- Domain
- AI & Machine Learning +1
- Use case
- Speech recognition
AudioAdvertised
Italian(Italy) Spontaneous Dialogue Telephony speech dataset, collected from dialogues based on given topics, covering 20+ domains.
- Language
- Italian
- Volume
- 499 h
- Domain
- AI & Machine Learning +1
- Use case
- Speech recognition
AudioAdvertised
Japanese(Japan) Spontaneous Dialogue Smartphone speech dataset, collected from dialogues based on given topics.
- Language
- Japanese
- Volume
- 633 h
- Domain
- AI & Machine Learning +1
- Use case
- Speech recognition
AudioAdvertised
The 513 Hours - Japanese Conversational Speech of natural conversations collected by telephony involved more than 800 native speakers, developed with the proper balance…
- Language
- Japanese
- Volume
- 513 h
- Domain
- AI & Machine Learning +1
- Use case
- Speech recognition
AudioAdvertised
Japanese(Japan) Full-Duplex Spontaneous Dialogue Smartphone speech dataset, collected from dialogues based on given topics.
- Language
- Japanese
- Volume
- 200 h
- Domain
- AI & Machine Learning +1
- Use case
- Speech recognition
Audio · MultimodalAdvertised
Specifications: ‣ Volume: 100,000+ hours ‣ Format: 8kHz, mono channel (WAV audio + JSON transcript) ‣ Environment: Studio, podcast-quality recording ‣ Recording content:…
- Language
- Japanese
- Volume
- 10k h
- Domain
- Education +1
- Use case
- Speech recognition
AudioAdvertised
Korean(Korea) Spontaneous Dialogue Smartphone speech dataset, collected from dialogues based on given topics, covering 20+ domains.
- Language
- Korean
- Volume
- 290 h
- Domain
- AI & Machine Learning +1
- Use case
- Speech recognition
AudioAdvertised
Korean(Korea) Spontaneous Dialogue Telephony speech dataset, collected from dialogues based on given topics, covering 20+ domains.
- Language
- Korean
- Volume
- 136 h
- Domain
- AI & Machine Learning +1
- Use case
- Speech recognition
AudioAdvertised
This 200 Hours Korean Full-Duplex Multi-Channel Speech Dataset features multi-stream audio recorded via smartphones, simulating natural conversations across a range of…
- Language
- Korean
- Volume
- 200 h
- Domain
- AI & Machine Learning +1
- Use case
- Speech recognition
AudioAdvertised
Korean(Korea) Real-world Casual Conversation and Monologue speech dataset, mirrors real-world interactions.
- Language
- Korean
- Volume
- 396 h
- Domain
- AI & Machine Learning +1
- Use case
- Speech recognition
AudioAdvertised
Spanish(Mexico) Spontaneous Dialogue Smartphone speech dataset, collected from dialogues based on given topics, covering 20+ domains.
- Language
- Spanish
- Volume
- 346 h
- Domain
- AI & Machine Learning +1
- Use case
- Speech recognition
AudioAdvertised
Spanish(Mexico) Spontaneous Dialogue Telephony speech dataset, collected from dialogues based on given topics.
- Language
- Spanish
- Volume
- 88 h
- Domain
- AI & Machine Learning +1
- Use case
- Speech recognition
AudioAdvertised
A mini version of this premium studio-grade conversational audio dataset delivers a superset of 1K hours of multi-speaker English content captured from professional…
- Language
- English
- Volume
- 1,000 h
- Domain
- Education +2
- 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 ‣ Recording content:…
- Language
- Arabic
- Volume
- 10k h
- Domain
- Education +1
- Use case
- Speech recognition
AudioAdvertised
Polish Real-world Casual Conversation and Monologue speech dataset, mirrors real-world interactions.
- Language
- Polish
- Volume
- 1,141 h
- Domain
- AI & Machine Learning +1
- Use case
- Speech recognition
Audio · TextAdvertised
Portuguese(European) Real-world Casual Conversation and Monologue speech dataset, mirrors real-world interactions.
- Language
- Portuguese
- Volume
- 919 h
- Domain
- AI & Machine Learning +1
- Use case
- Speech recognition
AudioAdvertised
This premium studio-grade conversational audio dataset delivers over 34.5K hours of multi-speaker English content captured from professional sports and talk studio…
- Language
- English
- Volume
- 35k h
- Domain
- Education +2
- Use case
- Speech recognition
Audio · MultimodalAdvertised
Specifications: ‣ Volume: 100,000+ hours ‣ Format: 8kHz, mono channel (WAV audio + JSON transcript) ‣ Environment: Studio, podcast-quality recording ‣ Recording content:…
- Language
- Russian
- Volume
- 10k h
- Domain
- Education +1
- Use case
- Speech recognition
AudioAdvertised
Russian(Russia) Spontaneous Dialogue Smartphone speech dataset, collected from dialogues based on given topics, covering 20+ domains.
- Language
- Russian
- Volume
- 338 h
- Domain
- AI & Machine Learning +1
- Use case
- Speech recognition
AudioAdvertised
Russian(Russia) Real-world Casual Conversation and Monologue speech dataset, mirrors real-world interactions.
- Language
- Russian
- Volume
- 503 h
- Domain
- AI & Machine Learning +1
- Use case
- Speech recognition
Audio · TextAdvertised
Arabic(Saudi Arabia) Real-world Casual Conversation and Monologue speech dataset, mirrors real-world interactions.
- Language
- Arabic
- Volume
- 849 h
- Domain
- AI & Machine Learning +1
- Use case
- Speech recognition