Japanese Conversational Speech by Mobile Phone | 633 Hours | Multilingual Language Data
Overview
Japanese Conversational Speech by Mobile Phone | 633 Hours | Multilingual Language Data is an audio dataset. It covers Japanese. The provider states a volume of 633 hours. Typical applications include speech recognition, speaker recognition and conversational AI. Relevant sectors: AI & Machine Learning and Education. The listing mentions transcription and timestamps. It is offered as a paid dataset; pricing details are provided on request.
Primary applications
What the listing offers
- Stated volume of 633 hours.
- Listing mentions transcription, timestamps.
Japanese(Japan) Spontaneous Dialogue Smartphone speech dataset, collected from dialogues based on given topics. Transcribed with text content, timestamp, speaker's ID, gender and other attributes. Our dataset was collected from extensive and diversify speakers(around 1000 native speakers), geographicly speaking, enhancing model performance in real and complex tasks. Quality tested by various AI companies. We strictly adhere to data protection regulations and privacy standards, ensuring the maintenance of user privacy and legal rights throughout the data collection, storage, and usage processes, our datasets are all GDPR, CCPA, PIPL complied. Format 16kHz, 16bit, uncompressed wav, mono channel; Recording Environment quiet indoor environment, without echo; Recording Content dozens of topics are specified, and the speakers make dialogue under those topics while the recording is performed; Speaker 1,066 Japanese, with 46% male and 54% female; Annotation annotating for the transcription text, speaker identification and gender; Recording device Android smartphone, iPhone Country Japan(JPN) Language(Region) Code ja-JP Language Japanese Accuracy rate Sentence accuracy rate(SAR) 95%
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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
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