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20 Hours Japanese TTS Dataset – Native Japanese Voice Corpus
Japanese speech dataset
Japanese TTS dataset
Japanese speech synthesis corpus
Japanese voice dataset for AI
native Japanese speech dataset
Japanese text-to-speech dataset
balanced phoneme Japanese corpus
This dataset contains recordings from 2 native Japanese speakers with authentic accents, each person contribute 10 hours of audio. Contains news and colloquial style general corpus, the phoneme coverage is balanced. Professional phonetician participates in the annotation. It precisely matches with the research and development needs of building Japanese text-to-speech systems, speech synthesis research, and AI voice applications.
This is a paid datasets for commercial use, research purpose and more. Licensed ready made datasets help jump-start AI projects.
![Specifications]()
Specifications
Format
48,000Hz, 24bit, uncompressed wav, mono channel;
Recording environment
professional recording studio;
Recording content
contains news and general corpus;
Speaker
professional voice actor, one male and one female, aged 25-35, 10 hours per person;
Annotation
word and phoneme transcription, four-level prosodic boundary annotation;
Application scenarios
speech synthesis.
![Sample]()
Sample
Audio
あなた 達#3、市役所 の 人#4!a(L) . n a(H) . t a(L) # t a(L) . ch i(L) / sh i(L) . ya(H) . k u(H) . s yo(H) # n o(H) # h i(L) . t o(H)
Audio
何か#3、お経 みてえ な#1歌 だ な#4。n a(H) . N(L) . k a(L) / o(L) . k yo:(HH) # m i(H) . t e:(LL) # n a(H) / u(L) . t a(H) # d a(L) # n a(L)
Audio
この 人 の#1遺品 の#1中 から#3、父 の#1手帳 は#1見つかった の#4。k o(L) . n o(H) # h i(L) . t o(L) # n o(L) / i(L) . h i(H) . N(H) # n o(H) / n a(H) . k a(L) # k a(L) . r a(L) / ch i(L) . ch i(H) # n o(L) / t e(L) . c yo:(HH) # w a(H) / m i(L) . ts u(H) . k a(H) . T(H) . t a(H) # n o(L)
Audio
はい#3、こちら#3、お 願い します#4。h a(H) . i(L) / k o(L) . ch i(H) . r a(H) / o(L) # n e(H) . g a(H) . i(H) # sh i(L) . m a(H) . s u(L)
Audio
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What languages and voice characteristics are covered by Nexdata’s speech synthesis datasets?

Nexdata offers speech synthesis datasets covering a broad range of languages, dialects, accents, and voice types, supported by extensive global language resources. Our datasets include diverse speakers, speaking styles, emotions, and recording scenarios to support natural and expressive Text-to-Speech (TTS) model development.

Can Nexdata customize speech synthesis datasets for specific languages or requirements?

Yes. If our off-the-shelf TTS datasets do not fully meet your requirements, Nexdata provides flexible custom data collection, transcription, annotation, and quality control services. We can customize datasets based on target languages or dialects, speaker profiles, voice characteristics, emotions, speaking styles, recording environments, and data volume.

How does Nexdata ensure the quality and scalability of speech synthesis datasets?

Nexdata applies multi-stage quality control throughout voice data collection, transcription, annotation, and validation. Combined with our extensive language resources and scalable collection capabilities, we can support both large-scale multilingual TTS projects and specialized datasets for specific voices, accents, emotions, or speech scenarios.
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