#Japan #Tokyo #AI Training #audio corpus #speech dataset

The Launch of a New Conversational AI Training Dataset

In the ever-evolving field of artificial intelligence, the release of a new conversational dataset by audio corpus Inc. is a game-changer. With this new addition, the total available training hours for speech recognition AI has now surpassed 6000 hours. By providing ready-to-use datasets, developers can eliminate the daunting task of creating their own data from scratch. This not only accelerates the development process, but also ensures that the AI is trained on relevant conversation categories.

What is the Audio Corpus Dataset?

The audio corpus dataset is an innovative combination of speech and text data designed for AI training. Each dataset comes pre-tagged, tailored to meet specific requirements for AI learning, making it readily available for developers. The speech data can be provided in formats such as WAV or MP3 files, while text data is available as CSV, TXT, or EAF files.

Key Features of the Speech Data:

• - Collection of realistic conversations including negotiations, call centers, discussions, interviews, and broadcast conversations.
• - Original data captured in stereo, separating left and right channels for enhanced clarity.
• - Natural speech interactions featuring overlaps in dialogue, adding to the realism.
• - Legal clearances regarding copyright and personal rights have been established for the recorded voices.

Unique Advantages of the Audio Corpus Dataset:

• - All speech data is meticulously transcribed, capturing nuances like interruptions and stuttering accurately.
• - The dataset uses six tags to highlight fillers and speech errors, aiding detailed analysis.
• - Each utterance is clearly segmented, allowing for precise usage and analysis of the speech data.

Compliant with Industry Standards

In accordance with the specifications of the Japanese Language Spoken Corpus (CSJ), the audio corpus dataset adheres to rigorous tagging conventions. Moreover, the dataset’s Japanese text follows the guidelines set by the “Journalist Handbook” published by Kyodo News, addressing common challenges such as discrepancies in notation, spelling errors, and mishearings.

The Development of the Dataset: A Market Response

The scarcity of royalty-free spoken data in the market poses significant challenges. The use of human voices is often classified as “personal information,” which necessitates permission for usage. Consequently, developers have frequently had to resort to sourcing their own voice data and transcribing it from the ground up, which is both time-consuming and inefficient.

Additionally, when training with spoken data, developers must also contend with issues like “notation discrepancies.” Enhancing quality becomes a labor-intensive endeavor. To address these needs, audio corpus Inc. has conducted extensive market research and developed useful datasets for conversational AI training. The newly released dataset focuses on “interviews,” featuring natural speech patterns that are versatile and easy to use.

Who Should Use This Dataset?

• - Developers creating speech recognition AI systems who require extensive training data.
• - Those whose project requirements have evolved and need access to new conversation categories.
• - Individuals searched for quality voice data.
• - Researchers engaged in the analysis of natural speech phenomena.

Easy Purchase Process

Each category in the dataset is customizable based on specific conversation themes. Interested parties can request product samples through the contact page to evaluate before purchasing.

audio corpus Inc. continues its commitment to improving the usability of speech recognition AI and will actively enhance its offerings to meet the growing demands of the industry.

Company Overview

Company Name: audio corpus Inc.
CEO: Naoya Morii
Location: 5F Ono Building, 5-49-5 Higashi-Ikebukuro, Toshima-ku, Tokyo
Business Activities: Annotation data creation, OTS dataset sales, contracted production, support for creation
Website: audio corpus

For inquiries regarding this release or to request interviews about our products and services, please contact us via the provided email or our inquiry form.