Next-generation voice recognition: Technology that could revolutionize the in-car experience

4. Cost and deployment challenges

Developing and implementing an SRS is a costly and ongoing process. If the SRS needs to cover a variety of languages, accents, and dialects, a large dataset needs to be trained. In this process, the data collection process requires a lot of money, the training model requires strong computing power support, and high-quality microphones are very expensive. As the market demand for automotive speech recognition systems continues to rise, the price of speech recognition systems is expected to gradually decrease in the future.

Future Outlook

Research data from Capgemini Research Institute shows that in 2022, 77% of consumers used car voice assistants for entertainment and navigation, and more than 60% of people who used voice assistants while driving considered the availability of car voice assistants in their purchasing decisions.

Voice The rise of artificial intelligence (AI) has made cars more autonomous and personalized, and consumers are increasingly interested in using voice AI to enhance the driving experience. Currently, voice control systems are mostly a basic set of commands. When conversational AI emerges, these systems will be able to understand multiple forms of conversations and conduct versatile and natural interactions with users. Among them, accurate voice interaction technology will be the focus of technological improvement. A highly integrated, full-featured automotive voice assistant can provide accurate voice recognition, helping to achieve the transformation of automotive voice recognition from niche to widespread adoption.

The integration of ChatGPT into Mercedes-Benz Cars vehicles is a significant advancement in the use of voice technology in the automotive industry. Digital voice assistants offer manufacturers an opportunity to enhance the user experience and provide a platform for new services and revenue opportunities based on the driver's request. It is expected that by 2028, nearly 90% of new cars sold worldwide will be equipped with voice assistants.

The automotive industry has always been a hotbed of patent innovation. The rise of connected cars and the increasing sophistication of technologies such as artificial intelligence (AI), machine learning (ML) and natural language processing (NLP) have further driven innovation in the automotive sector. In its report on automotive innovation, Global Data pointed out that in the past three years alone, there have been more than 1.7 million patent applications and authorizations in the automotive industry. Advances in voice technology have opened up new opportunities for the automotive industry to improve users' driving experience. From personalized voice interaction to hands-free operation, voice technology has become a key element of automotive innovation.