SANTA CLARA, Calif., March 18, 2024–(BUSINESS WIRE)–SoundHound AI, Inc. (Nasdaq: SOUN), a global leader in voice artificial intelligence, has unveiled an innovative in-vehicle voice assistant that revolutionizes how language models (LLMs) operate. Rather than relying on cloud connectivity, SoundHound has successfully integrated the LLM into the NVIDIA DRIVE platform, opening up new possibilities for generative AI in autonomous vehicles.
The new in-vehicle voice assistant effectively combines SoundHound Chat AI with a large language model running on the NVIDIA DRIVE platform. This advancement demonstrates that generative AI technology can still achieve optimal results without relying on cloud connectivity. By collaborating with NVIDIA, SoundHound is significantly expanding the reach of generative AI in various settings and scenarios.
NVIDIA DRIVE provides the foundation for SoundHound Chat AI to deliver seamless voice interactions within vehicles, even when there is no connectivity. This breakthrough solution enables drivers to access SoundHound Vehicle Intelligence, which provides instant information directly from the car manual and other relevant sources using natural speech.
Vehicle Intelligence understands and responds to verbal requests, offering answers related to settings, safety, troubleshooting, and vehicle maintenance. Drivers no longer need to fumble with physical documents, making it easier to access the information they need. Examples of queries include:
- “I see a flashing light that looks like a car battery and I’m not sure what that means?”
- “What does the ‘auto hold’ button do?”
- “How do I use the feature that allows me to drive hands-free safely?”
In addition to Vehicle Intelligence, the voice assistant also handles general inquiries, assisting drivers in planning trips and vacations. Some examples are:
- “Where are the best locations to take photographs on the Pacific Coast Highway?”
- “Which wineries offer riesling in Carmel Valley?”
- “What kinds of dishes count as Californian cuisine?”
Integrating this cutting-edge AI technology into vehicles creates tremendous opportunities for automakers. Drivers can now enjoy rapid voice-enabled access to LLM capabilities while benefiting from enhanced privacy, flexibility, and lower operating costs.
“Marrying the incredible capabilities of generative AI with the advantages of edge computing, we have created a fast and private voice experience with seamless results. The possibilities are endless,” said Mike Zagorsek, COO of SoundHound AI.
“We are delighted to collaborate with innovative partners like SoundHound in bringing generative AI and accelerated compute into vehicles. This advancement enhances the driving experience and improves safety on the road,” said Rishi Dhall, Vice President of Automotive at NVIDIA.
SoundHound AI prioritizes privacy by offering on-device edge voice solutions. This ensures that data is stored locally, granting end-users greater levels of privacy and security.
FAQ
What is SoundHound AI?
SoundHound AI is a global leader in conversational intelligence, offering voice AI solutions to businesses. Their technology allows businesses to provide exceptional conversational experiences to customers in multiple industries, including automotive, TV, IoT, and customer service.
What is NVIDIA DRIVE?
NVIDIA DRIVE is a platform that integrates accelerated computing and AI technology into vehicles, improving the overall driving experience and safety.
What is the SoundHound Vehicle Intelligence?
SoundHound Vehicle Intelligence is a product that provides drivers with instant information directly from the car manual and other relevant data sources using natural speech. It allows drivers to easily access information about settings, safety, troubleshooting, and vehicle maintenance.
How does the in-vehicle voice assistant work?
The in-vehicle voice assistant combines SoundHound Chat AI with a large language model running on the NVIDIA DRIVE platform. It understands and responds to voice commands, providing drivers with the information they need.
What are the benefits of integrating generative AI into vehicles?
Integrating generative AI into vehicles allows for rapid voice-enabled access to information and capabilities, enhancing the driving experience. It also offers greater privacy, flexibility, and lower operating costs.
Sources: businesswire.com
The new in-vehicle voice assistant developed by SoundHound AI represents a significant advancement in the field of generative AI for autonomous vehicles. Unlike traditional voice assistants that rely on cloud connectivity, SoundHound has successfully integrated a large language model (LLM) into the NVIDIA DRIVE platform. This breakthrough allows for seamless voice interactions within vehicles, even without an internet connection. By partnering with NVIDIA, SoundHound is expanding the possibilities of generative AI in various settings and scenarios. (Source: businesswire.com)
With this new technology, drivers can access SoundHound Vehicle Intelligence, which provides instant information directly from the car manual and other relevant sources using natural speech. It understands and responds to verbal requests related to settings, safety, troubleshooting, and vehicle maintenance. This eliminates the need for drivers to search through physical documents, making it easier and more convenient to access the information they need. Examples of queries include inquiries about warning lights, specific features of the vehicle, and hands-free driving capabilities. (Source: businesswire.com)
Furthermore, the in-vehicle voice assistant goes beyond just providing vehicle-related information. It also handles general inquiries and assists drivers in planning trips and vacations. Drivers can ask about the best locations for photography on the Pacific Coast Highway, wineries that offer specific types of wine, or even types of cuisine associated with California. This expanded functionality adds value to the driving experience and makes it easier for drivers to obtain the information they need while on the road. (Source: businesswire.com)
Integrating this cutting-edge AI technology into vehicles presents significant opportunities for automakers. Drivers can now enjoy rapid voice-enabled access to language model capabilities while benefiting from enhanced privacy, flexibility, and lower operating costs. By marrying generative AI with edge computing, SoundHound has created a fast and private voice experience that opens up endless possibilities. This advancement not only enhances the driving experience but also improves safety on the road. (Source: businesswire.com)
In terms of the market forecast for voice artificial intelligence in the automotive industry, it is expected to experience significant growth in the coming years. According to a report by MarketsandMarkets, the automotive AI market is projected to reach USD 12.8 billion by 2025, with a CAGR of 23.3% during the forecast period. The increasing demand for enhanced infotainment and advanced driver assistance systems is driving the adoption of AI technology in vehicles. Voice assistants like the one developed by SoundHound AI play a crucial role in enabling seamless voice interactions and improving the overall driving experience. (Source: marketsandmarkets.com)
However, there are also challenges and issues related to the adoption of voice AI in the automotive industry. One major concern is the need to ensure the privacy and security of user data. SoundHound AI addresses this concern by offering on-device edge voice solutions, which store data locally and provide end-users with greater levels of privacy and security. Additionally, the accuracy and reliability of voice recognition technology in noisy environments or with different accents remain areas of improvement. The development of robust voice AI systems that can effectively understand and respond to a wide range of user commands is crucial for widespread adoption. (Source: marketsandmarkets.com)
In conclusion, the integration of SoundHound’s in-vehicle voice assistant into the NVIDIA DRIVE platform represents a significant advancement in generative AI for autonomous vehicles. This technology allows for seamless voice interactions, providing drivers with instant information and enhancing the overall driving experience. With the forecasted growth of the automotive AI market, voice assistants like this will play a crucial role in shaping the future of in-vehicle interactions. However, challenges related to privacy and accuracy still need to be addressed to further drive adoption in the industry. (Sources: businesswire.com, marketsandmarkets.com)
The source of the article is from the blog macholevante.com