#Japan #Tokyo #JapaneseSpeech #AIModel #SpeechDatasets

High-Quality Japanese Speech Datasets for AI

In the realm of AI model development, acquiring high-quality training data is paramount, particularly for speech recognition (ASR) and natural language processing (NLP) tasks. Traditional reading data falls short in meeting the requirements for effective training. To address the pressing need for robust datasets, we introduce three state-of-the-art proprietary Japanese speech datasets designed to enhance machine learning capabilities.

1. 205-Hour Japanese Speaker-Separated Natural Conversation Dataset

Ideal for:

• - Speaker separation models
• - Voice assistants
• - Customer service analytics
• - Natural conversation systems

Features and Benefits:

• - Real-world Recording: Captured using smartphones, this dataset features acoustic properties similar to those encountered in actual user environments, including noise cancellation and compression techniques.

• - Speaker Separation and Bi-Directional Recording: The dataset records two distinct speakers on separate tracks, ensuring interruptions and overlapping speech are documented. This data richness is essential for developing conversational systems.

• - Diverse Speaker Demographics: With 234 participants (102 males and 132 females), the dataset covers a wide age range from 18 to 60 years, allowing for a balanced and unbiased dataset.

• - High-Precision Annotation: Achieving over 98% accuracy in character recognition, the dataset includes essential timestamps, speaker IDs, and gender information, facilitating easy identification of speech segments.

2. 100-Hour Japanese Entity Reading Dataset

Ideal for:

• - Voice input forms
• - Named entity recognition (NER)
• - Personal information extraction

Focusing on the critical aspect of accuracy in speech recognition, this dataset specializes in “named entities” such as names, addresses, and monetary values. Despite being based on scripts, it is equipped with practical entity tags, making it highly suitable for training information extraction models.

Features and Benefits:

• - Rich Entity Tags: It includes important business elements tagged clearly, such as personal names, phone numbers, addresses, and amounts (e.g., [PHO], [LOC], [MONEY]).

• - Inclusion of Real-World Noise: Not limited to silent environments, the recordings incorporate ambient noise that does not significantly interfere with recognition, enhancing the model’s robustness.

• - Smartphone-based Recording: The audio is captured on mobile devices with specifications ideal for application development (16kHz), ensuring strong compatibility.

• - Structured Transcriptions: The dataset provides a clear delineation of entities, substantially reducing post-processing costs.

3. 48kHz 500-Hour Japanese Speaker-Separated Conversation Dataset

Ideal for:

• - High-precision speech recognition model development
• - Research and development purposes
• - Professional services

This extensive dataset blends both quantity and quality, ideal for developers seeking comprehensive resources. Recorded at 48kHz/32bit, it captures intricate acoustic features, making it suitable for sophisticated AI model training.

Features and Benefits:

• - Professional Audio Quality: Utilizing a high-fidelity format (48kHz sampling, 32bit depth), this dataset is perfect for projects requiring precise speaker recognition and delicate audio processing.

• - Extensive Corpus: With an effective time span of 500 hours, it is invaluable for pre-training deep learning models and enhancing overall performance.

• - Detailed Annotation Specifications: The dataset includes tags for inappropriate speech, noise, and privacy-related information (e.g., phone numbers), facilitating easier data cleansing.

Multilingual Speech Datasets

Nexdata continually monitors global research trends and rapidly develops learning datasets tailored to accelerate your research and development initiatives. Our offerings include a wide variety of speech datasets across more than 60 languages, covering over 1 million hours of data. This comprehensive collection includes single-speaker, multi-speaker, unsupervised training corpora, natural conversations, and domain-specific datasets.

In addition to Japanese, we offer a rich selection of multilingual speaker-separated speech datasets in languages such as English, Korean, and Thai, making our resources highly versatile. Delivery can be executed in as little as one week upon request.

Security and Copyright Assurance

All datasets are provided with our ownership assurance, allowing you to utilize them with peace of mind. Areas containing personal information (e.g., phone numbers, card numbers) are clearly indicated with [PIL] tags, and the audio files are masked for added security.

About Nexdata

Nexdata stands as a leading provider of AI training data since 2011, offering commercially viable datasets and data collection, annotation, and provisioning services. With approximately 4.5PB of training data across various formats including audio, images, video, text, and point clouds, we strive to alleviate the challenges faced by the AI industry regarding data quantity and quality.

For inquiries, please contact us at:

• - Company Name: Datatang Inc. (Nexdata)
• - Location: 6th Floor, WATERRAS Annex, 2-105 Kanda Awaji-cho, Chiyoda-ku, Tokyo
• - Established: February 2020
• - Capital: 500 million yen
• - Business Scope: Provision of AI training data (proprietary & customized data)
• - Website: Nexdata