In the Advanced Driver Assistance System (ADAS), CMOS image sensors combined with vision processors have played a key role in assisting in vehicle identification and classification. As for its "hearing"?
Can a microphone also play a role as a camera-like role, adding more "wisdom" to autonomous vehicles?
Paul Beckmann, CEO and founder of DSP Concepts, said that before the car and the driver discovered that the ambulance was close, it had already heard its alarm sounded. So why is the automotive industry not interested in audio?
System OEMs (not just automakers) are currently at the critical moment of "using more microphones to generate another important sensor data for artificial intelligence (AI) - audio," Beckmann explained.
As he presupposes, audio is “playing from the simple entertainment system, towards input, triggering, and analysis in a contextual architecture.â€
The wisdom picked up by the microphone can also be used in various systems for everyday life, from cars, digital virtual assistants to portable devices. “Vision and hearing should go hand in hand,†said Willard Tu, CEO of DSP Concepts Business and Marketing. "Dog snoring, baby crying, glass cracking, car horns, sirens and gunshots, etc... The audio helps the system to more effectively grasp the environment [and the situation]."
Figure 1: The blueprint for the development of the audio "input" algorithm (Source: DSP Concepts)
Today, there are two important developments that have driven the electronics industry to suddenly develop rapidly in the audio arena.
One is the popularity of smart phones with multiple microphones; the second is the popularity of digital virtual assistants such as Amazon Echo and Google Home. According to Peter Cooney, director and principal analyst of SAR Insight & ConsulTIng, "there are more and more applications for integrating virtual digital assistants in general consumer devices, driving perception and using voice as a natural user interface for many daily tasks. â€
But how fast can the microphone surpass the role of being a natural user interface and start to become a true 'wisdom sensor'? It seems that the industry has to wait for some progress.
In order to meet the challenge, audio requires a microphone that can pick up better sound quality, a processor that is good at audio, an efficient algorithm for pre-processing audio, an easy-to-use audio processing tool, an audio standard equivalent to Open GL for drawing, and The minimum power consumption maintains a permanent microphone.
In short, as Cooney points out, the market needs “always on listening technology, voice-enhanced algorithms, and microphones.â€
Implement audio processing on ARM processors
Audio processing has historically been a specialized area required for playback systems such as equalizers in TV, DVD and Hi-Fi audio systems.
Nowadays, with the popularity of microphones for smart phones and other home devices, audio processing tasks have expanded to almost everywhere. The dedicated audio DSP is not the only chip in the system that processes audio.
As more and more audio begins to execute on ARM processors, Beckmann points out that more OEMs "eagerly view the microphone as an AI input sensor. DSP Concepts is in the best position to observe this market transition.
Beckmann is optimistic about the growth of the market, especially because of the company's achievements in the past year called Audio Weaver. As Beckmann described, this is “the only graphics audio design architecture that works across platforms.â€
Industry analysts believe that DSP Concepts is occupying a unique position in the audio market. Bob O'Donnell, president and principal analyst at TECHnalysis Research, said: "I don't see which competitors DSP Concepts or its Audio Weave tools face. Many companies specialize in audio editing and audio for music and recording purposes. Processing, but this is a different field after all."
Cunny agreed. "I don't know any competing products for audio weavers," he added. "The DSP concept has other products as well, such as sound enhancement algorithms (noise suppression, echo cancellation, beamforming), benchmarks and reference designs."
Cooney also agrees with this view. "I don't know if Audio Weaver has any competitors," he added. "DSP Concepts also has other products, such as sound enhancement algorithms (noise suppression, echo cancellation, wave shaping, etc.), benchmarks and reference designs."
Figure 2: Global Microphone and Audio Processor Market (Source: SAR Insights & ConsulTIng)
DSP Concepts does not design or sell DSPs. However, competitors are generally other DSP operators. Audio Weaver's competing products come from audio tools built by DSP vendors such as Texas Instruments or Cirrus Logic. The difference is that those tools developed in-house are only used by DSP vendors' own chips. With a standalone platform tool like Audio Weaver, Tu emphasizes that "OEMs don't have to be limited to a specific DSP."
Cooney said that DSP Concepts is working with a number of companies, including Cadence/Tensilica, to provide audio design solutions to its customers.
In addition to the Audio Weaver tools, DSP Concepts also licenses audio algorithms that form microphone inputs, including beamforming, echo cancellation, noise cancellation, and far-field sound algorithms. Beckmann pointed out that in the absence of engineering talents with deep audio processing in the industry, there is an urgent need for an easy-to-use audio pre-processing algorithm to isolate sound from unwanted environmental noise.
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