Please fill in your name
Mobile phone format error
Please enter the telephone
Please enter your company name
Please enter your company email
Please enter the data requirement
Successful submission! Thank you for your support.
Format error, Please fill in again
The data requirement cannot be less than 5 words and cannot be pure numbers
The company faced the challenge of developing over 20 types of multilingual speech recognition data to address the growing needs of the automotive industry. In-cabin voice recognition systems remained a major concern for vehicle owners, and localization of in-vehicle systems posed significant complexities due to multiple languages and diverse driving scenarios.
As an experienced automotive solution provider, we offered comprehensive services for localized data collection, testing, and validation. Our professional team collaborated directly with automotive engineering teams to implement optimized solutions for high-quality training data in all target languages. Leveraging our rich resources, we recruited native speakers to record diverse environmental languages, ensuring both quantity and quality of data. Additionally, our professional TTS service provided evaluation and improvement for speech accuracy and naturalness in driver command scenarios.
Through our efficient collaboration and extensive experience, the car manufacturer's team focused on enhancing system development, benefiting from our robust data collection and annotation capabilities. Our solution enabled them to advance their multilingual speech recognition system development, seizing new market opportunities.
Datatang's "Human-in-the-loop" intelligent AI data annotation services combine human expertise with semi-automatic labeling pipelines, delivering up to 3-4 times efficiency improvement. With a track record of nearly 5,000 projects, our platform offers 28 annotation templates and built-in automatic labeling tools to meet diverse requirements. We prioritize data security compliance to protect customer rights and interests. Customers can confidently leverage our AI data services. With cutting-edge capabilities in data collection and annotation, Datatang enables efficient deployment of AI models with high-quality training data.
Artificial intelligence (AI) is revolutionizing our lives and work, including how we safeguard ourselves against cyber threats. With AI, we can gain a deeper understanding of risks and make accurate decisions swiftly. It empowers us to identify new attacks rapidly and take proactive measures without relying solely on human intervention. Additionally, AI can even detect automatically generated content, ensuring its authenticity.
Speech recognition technology has witnessed remarkable progress in recent years, revolutionizing human-computer interactions. However, this progress has not been uniform across all languages, especially in the context of "low-resource" languages. These languages face unique challenges due to limited data availability for training speech recognition systems. In this article, we will delve into the concept of "low-resource" speech recognition and explore how innovative training data techniques can help overcome these challenges.