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Home > All Category Datasets > Speech Recognition Datasets > 122 Hours Japanese Speech Dataset – Entity-Annotated Monologue Audio for ASR & AI Training

122 Hours Japanese Speech Dataset – Entity-Annotated Monologue Audio for ASR & AI Training

japanese speech dataset
speech recognition dataset japanese
japanese ASR dataset
speech to text dataset japanese
entity annotated speech dataset
monologue speech dataset japanese

This dataset contains 122 hours of high-quality Japanese scripted monologue speech collected from diverse speakers across multiple geographic regions.The dataset includes rich structured entity coverage such as person names, phone numbers, addresses, alphanumeric sequences, Emails, product Models, product serial numbers, and money entities, mirrors real-world interactions. The speech transcriptions include text content and other attributes. Quality tested by various AI companies. We strictly adhere to data protection regulations and privacy standards, ensuring the maintenance of user privacy and legal rights throughout the data collection, storage, and usage processes, our datasets are all GDPR, CCPA, PIPL complied.

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SpecificationsSpecifications
Format
16kHz，16bit，wav，mono channel
Recording environment
quiet indoor environment, normal environment(contains noise that does not affect recognition)
Recording content
Speakers will read and record based on the given texts, with each text containing at least 1 type of specified entity word: person, phone number, address, alphanumeric sequence, Email, product Model, product serial number, and money.
Country
Japan(JPN)
Language(Region) Code
ja-JP
Language
Japanese
Accuracy
CAR(Character Accuracy Rate) 98% (Punctuation, tags and non-speech annotations are subjective, thus they are excluded from the accuracy statistics.)
Device
Android phone, iPhone
Sample Sample
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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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