Emotion Speech Dataset
2025-07-14 02:01:49

Visual Bank Launches Emotion-Infused Speech Dataset for AI Development

Introduction to Qlean Dataset


Visual Bank, a Tokyo-based company, is revolutionizing AI development with its Qlean Dataset, now featuring a newly released Emotion-Infused Speech Dataset. The dataset is designed for research and commercial AI developments across multiple industries.

What is Qlean Dataset?


Qlean Dataset provides a tailored solution for AI learning that offers a flexible lineup of commercial-use data. The new offering is part of their 'Data Recipe' platform, which allows users to customize datasets based on their specific needs concerning accuracy and deadlines. This flexibility makes it easier for AI developers to use high-quality data without the usual burdens of data collection and maintenance.

The Emotion-Infused Speech Dataset


The newly launched Emotion-Infused Speech Dataset comprises over 6,800 Japanese speech samples recorded in WAV format. It features emotional expressions from 100 Japanese participants aged between 10 and 50 years. The dataset includes nine distinct emotions—calm, joy, sadness, anger, fear, disgust, surprise, frustration, and neutrality—giving AI developers a rich variety of speech with emotional context.

Structure of the Dataset


The dataset’s strength lies in its structure:
  • - File Count: 6,800 audio files
  • - Emotional Variants: Each emotion is recorded in two intensity levels, normal and strong.
  • - Speaker Diversity: The files feature speech samples from a balanced group of Japanese men and women.

Sample phrases include simple yet relatable lines like,
"A news story just came through the radio,”
"There’s a mobile phone on the table.”

These realistic phrases help AI systems learn and replicate human emotion in speech synthesis.

Use Cases of the Dataset


With this dataset, various sectors can significantly enhance AI functionality:
1. Call Center Operations: Implementing emotion detection can improve response quality and escalate support issues more effectively.
2. Conversational Robots & AI Assistants: Understanding and responding to emotional tones can lead to more natural interactions between humans and machines.
3. Mental Health Tools: By detecting changes in emotional states, these tools can monitor stress indicators effectively, providing timely interventions.
4. Character Voice Generation: AI can better generate character voices that align with emotional expressions, adding depth to virtual beings.
5. Multimodal AI Development: Integrating voice, dialogue, and character attributes will help create Vtubers and avatars that can gauge emotions accurately.
6. e-Learning & Educational Platforms: Incorporating emotion-laden speech data into learning tools can enhance non-verbal expression education.
7. Film and Narration Analysis: This dataset can help analyze emotional undertones in commercials and video content, offering insights into viewer responses.

Advantages of Qlean Dataset


Qlean Dataset adheres strictly to privacy policies and ensures that consent for data usage is collected from all individuals involved. This approach allows researchers and companies to utilize the data securely and responsibly.

The unique 'Data Recipe' model not only accelerates data acquisition but also maximizes ROI, making it a highly attractive option for companies focused on cost-effective AI development. Furthermore, should conventional data recipes not meet specific needs, Visual Bank offers customizable data solutions tailored to unique project requirements.

About Visual Bank


Visual Bank’s mission is to empower AI technology by building sophisticated data infrastructures, thus unleashing the full potential of data. The company is at the forefront of developing IP and AI use cases, supported by its subsidiary, Amana Images, which focuses on developing high-quality AI training datasets.

CEO: Masayuki Nagai
Headquarters: Tokyo, Japan
Website: Visual Bank | Amana Images

For more information, visit our Qlean Dataset Site


画像1

画像2

画像3

画像4

画像5

画像6

Topics Consumer Technology)

【About Using Articles】

You can freely use the title and article content by linking to the page where the article is posted.
※ Images cannot be used.

【About Links】

Links are free to use.