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Home > All Category Datasets > Speech Recognition Datasets > 513 Hours – Japanese Speech Dataset (Telephone Recordings)

513 Hours – Japanese Speech Dataset (Telephone Recordings)

Japanese audio dataset
Japanese ASR training data
Japanese spontaneous dialogue dataset
Japanese speech dataset

This dataset contains 513 hours of Japanese speech recorded via telephony involved more than 800 native speakers, developed with the proper balance of gender ratio, Speakers would choose a few familiar topics out of the given list and start conversations to ensure dialogues' fluency and naturalness. The recording devices is telephony recording system. The audio format is 8kHz, 8bit, uncompressed WAV, and all the speech data was recorded in quiet indoor environments. All the speech audio was manually transcribed with text content, the start and end time of each effective sentence, and speaker identification. The accuracy rate of sentences is ≥ 95%.

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SpecificationsSpecifications
Format
8kHz, 8bit, u-law/a-law 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;
Demographics
878 Japanese, with 46% male and 54% female;
Annotation
annotating for the transcription text, speaker identification and gender;
Device
Telephony recording system;
Language
Japanese;
Application scenarios
speech recognition; voiceprint recognition;
Accuracy rate
95%
Sample Sample
  • Audio

    そうですね。三食、えっと、野菜とタンパク質と

  • Audio

    はい、朝が十時ぐらいに、十時、頃、十時過ぎに食べたので、まだ食べてません

  • Audio

    昼ご飯はえっと、ホットモットの生姜焼き弁当を買って

  • Audio

    と生姜焼きと、漬物と、ポテトサラダが入ったものなんですけど、それとご飯を一緒に食べてきました

  • Audio

    はいぼくは朝は卵豆腐とあとサラダ

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What languages and scenarios are covered by Nexdata’s speech recognition datasets?

Nexdata offers speech recognition datasets covering a broad range of languages, dialects, and accents, backed by extensive global language resources. Our datasets include diverse speakers, acoustic environments, and real-world speech scenarios, supporting multilingual ASR, voice assistants, conversational AI, speech-to-text, and other speech-enabled applications.

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

Yes. If our off-the-shelf datasets do not fully meet your requirements, Nexdata provides flexible custom data collection, transcription, and annotation services. We can customize datasets based on target languages or dialects, speaker profiles, recording environments, speech scenarios, data volume, and annotation specifications to meet specific ASR development needs.

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

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

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