Unsupervised Spontaneous Japanese Speech Data | 10,341 Hours | Large Language Model (LLM) Data
Overview
Unsupervised Spontaneous Japanese Speech Data | 10,341 Hours | Large Language Model (LLM) Data is an audio dataset. It covers Japanese. The provider states a volume of 10,341 hours. Typical applications include speech recognition. Relevant sectors: AI & Machine Learning and Education. It is offered as a paid dataset; pricing details are provided on request.
Primary applications
What the listing offers
- Stated volume of 10.3k hours.
Format 16kHz, 16bit, uncompressed wav, mono channel; Data Source Spontaneous speech data collected from public channels with a colloquial style; Audio Content Encompassing evaluations, variety shows, vlogs, culinary content, and various other thematic types, without detailed categorization. Annotation The dataset can be utilized for large-scale unsupervised learning tasks. The audio content includes initial .srt subtitle files, but has not undergone manual annotation quality checks. Language Japanese
Technical specifications
- Modalities
- Audio
- File formats
- XML, JSON, CSV, TXTInferred
- Volume
- 10.3k hours
Related datasets
More in Speech & Audio →Japanese Conversational Speech by Mobile Phone | 633 Hours | Multilingual Language Data
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
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