Speech Synthesis Data | 400 Hours | Text-to-Speech(TTS) Data | Audio Data | AI Training Data | Speech Data
Overview
Speech Synthesis Data | 400 Hours | Text-to-Speech(TTS) Data | Audio Data | AI Training Data | Speech Data is an audio and text dataset. The provider states a volume of 400 hours. Typical applications include speech recognition and speech synthesis (TTS). Relevant sectors: AI & Machine Learning and Education. The listing mentions transcription. It is offered as a paid dataset; pricing details are provided on request.
Primary applications
What the listing offers
- Stated volume of 400 hours.
- Listing mentions transcription.
1. Specifications Format : 44.1 kHz/48 kHz, 16bit/24bit, uncompressed wav, mono channel. Recording environment : professional recording studio. Recording content : general narrative sentences, interrogative sentences, etc. Speaker : native speaker Annotation Feature : word transcription, part-of-speech, phoneme boundary, four-level accents, four-level prosodic boundary. Device : Microphone Language : English(American/British/Australian/New Zealand/Singaporean), French(Canadian/Europe), Spanish(Mexican/Europe/Argentinian/Peruvian), Japanese, Dutch, Hong Kong Catonese, Italian, German, Portuguese and etc. Application scenarios : speech synthesis Accuracy rate: Word transcription: the sentences accuracy rate is not less than 99%. Part-of-speech annotation: the sentences accuracy rate is not less than 98%. Phoneme annotation: the sentences accuracy rate is not less than 98% (the error rate of voiced and swallowed phonemes is not included, because the labelling is more subjective). Accent annotation: the word accuracy rate is not less than 95%. Prosodic boundary annotation: the sentences accuracy rate is not less than 97% Phoneme boundary annotation: the phoneme accuracy rate is not less than 95% (the error range of boundary is within 5%) 2. About the provider the provider owns off-the-shelf PB-level Large Language Model(LLM) Data, 3 million hours of Audio Data and 800TB of Imagery Data. These ready-to-go AI & ML Training Data support instant delivery, quickly improve the accuracy of AI mod
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- Language
- English
- Volume
- 1,136 h
- Domain
- AI & Machine Learning +1
- Use case
- Speech recognition
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