#Japan #Tokyo #AI Development #audio corpus #OTS Dataset

New OTS Dataset Launch: Revolutionizing AI Training with Sensitive Data

Audio Corpus, Inc. has officially unveiled a highly anticipated addition to its audio dataset lineup—the OTS dataset. This new collection comprises realistic conversational data that intentionally includes sensitive information, catering specifically to the increasing demands in AI development. With this release, the total duration of datasets offered by Audio Corpus now exceeds a staggering 6,000 hours. This remarkable expansion will significantly streamline the traditionally lengthy and cost-intensive process of creating training data from scratch, allowing for swift development tailored to specific dialogue categories.

What is the OTS Dataset?

The OTS dataset distinguishes itself from other natural conversation datasets by integrating sensitive data, which comprises elements such as:

• - Full names
• - Phone numbers
• - Addresses

The dataset uniquely collects names that are prevalent across Japan, focusing especially on comprehensive listings of addresses from Tokyo. This meticulous gathering aims to ensure relevancy for developers looking to build AI solutions that require specificity in user interactions.

Rich Collection of Call Center Audio

One of the standout features of this dataset is the inclusion of 200 hours of authentic call center dialogue recordings. This extensive audio resource enables comprehensive learning of intricate conversational patterns, inclusive of sensitive information. As a result, developers can create AI models capable of navigating complicated interaction scenarios found in real-world applications.

Pre-Annotated for Immediate Use

The OTS dataset comes fully pre-annotated, meaning that each piece of sensitive information is tagged and ready for instant integration into AI model development. This eliminates the need for additional tagging work, allowing developers to focus immediately on model training and validation.

Design for Natural Conversation Flow

The dialogue data has been crafted to allow sensitive information to appear seamlessly within natural conversation flows. This design feature is crucial for training AI in real-world scenarios, enhancing the relevance and applicability of the learning outcomes.

Optimized for Identity Verification Tasks

Particularly well-suited for contact centers and situations requiring identity verification, the dataset captures a multitude of practical dialogue patterns. This focused approach ensures that the data is not only rich in content but also applicable to current industry standards for conversational AI.

Rights-Managed OTS Data for Commercial Use

The OTS dataset is meticulously organized concerning rights and usage permissions, making it a safe option for commercial utilization. This alleviates concerns related to copyright and personal information, providing a valuable resource for companies looking to innovate in AI.

The Significance of the OTS Dataset

This dataset stands out as a rare and essential resource for AI development, being challenging to find elsewhere in the market, especially with the integration of sensitive yet valuable information. Audio Corpus is deeply committed to meeting the evolving needs in the realm of AI, and this dataset is a testament to that mission.

Understanding the Audio Corpus Dataset

The audio corpus dataset is characterized by its high-quality audio and precise text data, specifically designed for AI training. With pre-annotations and data formatting in place, the dataset allows immediate incorporation into the development process, relieving developers of the burdens associated with in-house data collection and formatting.

Specifications of the Audio Data:

• - Varied Dialogue Scenarios: It encompasses real-world interactions that are relevant to various business applications, such as negotiations and call center interactions.
• - High-Precision Speaker Separation: Recorded using multiple microphones, allowing for separate left/right channel recordings which optimize training for speaker separation algorithms.
• - Natural Speech Capture: The dataset captures authentic speech patterns, including overlaps, without any scripted dialogue, ensuring a higher level of realism during training sessions.
• - Studio-Quality Acoustics: All recordings are made in a professional studio to minimize background noise, thereby maximizing learning efficiency.
• - Compliance Managed: Rights associated with copyright and personal information are scrupulously handled, granting peace of mind to commercial users.

Text Data Features:

• - Precise Transcription: The dataset features detailed transcripts of conversations, capturing nuances such as filler words and hesitations, making it ideal for evaluating speech recognition accuracy.
• - Advanced Annotation with Six Tags: Various linguistic attributes are tagged to aid the extraction of specific speech phenomena for focused learning.
• - Timestamped Speech Segments: The data is neatly segmented into speech units, enabling targeted analysis and utilization of specific dialogue portions.

Meeting the Demand for Quality Training Data

As the need for speech recognition AI continues to rise, the development of high-quality, commercially usable training data remains crucial. Unfortunately, the scarcity of such data, particularly that which meets rigorous rights management and quality standards, poses a significant challenge for developers.

With the launch of the OTS dataset, Audio Corpus, Inc. aims to address these challenges. This dataset not only fulfills existing needs in the market but also provides a robust foundation for enhancing the accuracy of AI models.

Ideal for Various Stakeholders

• - AI Development Teams: Those aiming to improve their speech recognition AI systems can leverage this dataset to acquire high-quality, pre-annotated sound files that meet industry requirements.
• - Companies Facing Operational Changes: Businesses adapting to new service requirements, particularly in areas like call centers or identity verification, can benefit from immediate access to relevant dialogue data.
• - Managers Seeking Clear Rights Data: Professionals focused on compliance with copyright and personal data management will find reassurance in using the rights-managed OTS dataset.
• - Linguistic Researchers: Those investigating the complexities of natural dialogue, including aspects like variation and fillers, will find this dataset a treasure trove for detailed study.

Next Steps for Interested Parties

Various categories of datasets are available for selection based on conversation themes, and sample data for evaluation is provided free of charge. Interested individuals can inquire through the contact form on the company’s website.

Audio Corpus, Inc. is committed to enhancing the usability and efficiency of speech recognition AI, aiming for the development of a highly functional voice-utilization society.

Company Overview

• - Company Name: Audio Corpus, Inc.
• - CEO: Naoya Morii
• - Location: 5F Ono Building, 5-49-5 Higashi-Ikebukuro, Toshima-ku, Tokyo, Japan.
• - Business Focus: Annotation data production, OTS dataset sales, custom development, and support services.
• - Website: Audio Corpus Official Site

Press Inquiries

For press inquiries related to this release or for further questions regarding the products and services offered by Audio Corpus, please reach out using the contact information provided on our website.