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Home > All Category Datasets > Speech Synthesis Datasets > 10.4 Hours – Japanese Female Voice TTS Dataset

10.4 Hours – Japanese Female Voice TTS Dataset

Japanese speech synthesis dataset

Japanese tts dataset

Japanese text-to-speech dataset female

female japanese tts dataset

This dataset contains 10.4 hours of Japanese female voice recordings. It is recorded by Japanese native speaker with an authentic accent. The phoneme coverage is balanced. Professional phonetician participates in the annotation. This corpus is ideal for tasks such as Japanese text-to-speech (TTS) training, speech synthesis research, and AI voice model development.

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

7,400 sentences of news and dialogue text, the syllables, phonemes and tones are balanced;

Speaker

female, 20-30 years old, sweet voice;

Device

microphone;

Language

Japanese

Annotation

word transcription;

Application scenarios

speech synthesis.

Sample

Sample

Audio
銀行に預けてれば、とりあえず安全ですから。
Audio
さっきから入り口の方ちらちら見てっからさ。
Audio
どこにいてもいいから元気でいてほしい。
Audio
こんなにまだ自分に何にもないと思わなかったな。
Audio
そんなやり方じゃどんなやつだってつぶれますよ。

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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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