--- title: "Japanese Speech Recognition Dataset" description: "Japanese speech dataset provides over 10 hours of telephone-based dialogues recorded by native Japanese speakers, offering high-quality audio data for speech recognition, NLP training, and…" url: "https://unidata.pro/datasets/japanese-speech-recognition-dataset/" date_modified: "2025-12-10T16:48:58+03:00" language: "en-US" --- Japanese speech dataset provides over 10 hours of telephone-based dialogues recorded by native Japanese speakers, offering high-quality audio data for speech recognition, NLP training, and conversational AI development. This audio dataset includes annotated recordings, consistent recording conditions, and diverse dialogue samples ## Dataset Structure ### The Numbers Section **Numbered list:** - **Number:** 10+ — **Text:** Hours - **Number:** 20+ — **Text:** Speakers ### Tooltips Section **Tooltip items:** - **Name:** NLP - **Name:** LLM - **Name:** Machine Learning - **Name:** Audio Processing - **Name:** ASR - **Name:** Voice Recognition ### Dataset Information **Table with data:** | Characteristic | Data | | --- | --- | | Description | Audio of telephone dialogues in Japanese for training NLP models in real-world conversational scenarios. | | Data types | Audio | | Tasks | Speech recognition, NLP | | Country | Japan (JPN) | | Hours of telephone dialogue | 10+ | | Number of speakers | 20+ | | Labeling | Annotation (ID, Language, Format, Minutes) | | Recording device | Android smartphone, iPhone | **Media Slider:** - **Video on Slayder:** - **Video on Slayder:** **Link to the sample:** [Download sample](https://drive.google.com/drive/folders/1ILZyI4Ma3nIXz0MlsG1umPi1sDjAeUkZ?usp=sharing) ### Technical Specifications **Table with data:** | Characteristic | Data | | --- | --- | | Audio Format | WAV, M4A | | Duration | Mean =12 min | | Recording condition | Low background noise (indoor) | **Source and data collection methodology:** Source and collection methodology: Data was collected via crowdsourcing platforms ### Dataset Use Cases - Slider **Industry Cards:** - **Industry:** Call Centers & Customer Support — **Title:** Enhancing Japanese Telephone Dialogue Recognition — **Text:** Japanese Speech Recognition Dataset includes real audio recordings from customer conversations. Speech data representing native Japanese speakers and regional variations improve recognition systems in call centers. Businesses use it to deliver more accurate automatic speech recognition, better transcriptions, and smoother support in the Japanese market. - **Industry:** AI & Machine Learning Research — **Title:** Training Models for Japanese Speech Processing — **Text:** This dataset provides essential training data for machine learning and language models. The speech corpus includes high-quality audio files with text transcriptions from native speakers. Researchers use it to develop recognition systems that handle recognition tasks with high accuracy, supporting both academic and commercial AI projects. - **Industry:** Multilingual Applications — **Title:** Supporting Cross-Language NLP and Translation — **Text:** The dataset is widely used in language processing and speech synthesis for multiple languages. Developers combine it with other languages to enhance conversational AI, multilingual recognition tasks, and natural language translation systems. Its diverse datasets ensure adaptability for global products requiring accurate Japanese speech recognition. - **Industry:** Commercial & Industrial Solutions — **Title:** Deploying Japanese Dialogue Recognition in Real Scenarios — **Text:** The Japanese dialogue dataset supports commercial use cases such as smart assistants, transcription tools, and interactive platforms. Since the database contains speech recordings from Japanese speakers in real situations, it boosts the reliability of recognition systems and ensures better performance for conversational AI and speech technology products. ### Fact **FAQs Heading:** FAQs **List of Questions:** - **Question:** What is Japanese Speech Recognition Dataset used for? — **Answer:** The dataset is designed for speech recognition tasks, NLP training, and conversational AI systems. It supports speech synthesis, automatic speech-to-text models, and language models for natural language understanding. - **Question:** Can I request a sample of the dataset before purchasing or downloading it? — **Answer:** Yes, a sample can be provided. This lets you review audio recordings, speech data, and speaker metadata to confirm that it meets your training data and recognition system requirements. - **Question:** What should I consider before buying Japanese Speech Recognition Dataset? — **Answer:** When purchasing the dataset, check the audio format, sampling rate, and the number of native Japanese speakers included. Ensure the text transcriptions and annotations match your project’s goals in speech recognition and language processing. - **Question:** How are Unidata datasets licensed? — **Answer:** Unidata datasets use a dual-licensing model. Free speech samples are available for testing, while the full dataset can be purchased for commercial use, machine learning, and language processing applications. - **Question:** Do Unidata datasets follow GDPR or other data privacy regulations? — **Answer:** Yes. All Unidata datasets are curated in compliance with GDPR and applicable data protection standards. The speech data is collected through lawful and ethical data collection practices, ensuring safe use in recognition systems and learning models. - **Question:** How long does it take to receive the dataset? — **Answer:** Once a request is submitted, Unidata reviews the details and finalizes the necessary documentation with you. After signing the agreement and processing payment, the Japanese dialogue dataset is delivered within 3-10 business days. - **Question:** Is this a real-world dataset or synthetic data? — **Answer:** This is a real-world dataset. The dataset contains authentic audio recordings with natural speech patterns, text transcriptions, and diverse voice data from multiple speakers in low-noise environments. It is not synthetic but real conversational Japanese speech for training data. - **Question:** Why is conversational Japanese audio useful for machine learning models? — **Answer:** Natural conversations contain variations in speaking style, pacing, and linguistic expressions that are difficult to capture with scripted recordings. Training on realistic dialogue helps machine learning models better understand and process human Japanese speech. [Full list of this site's AI-readable pages](https://unidata.pro/llms.txt)