![]() Since no special signal processing functionality is needed, an ARM processor is sufficient to handle the interface duties. However, with a cloud provider doing the heavy lifting, the device side of things becomes much simpler, and in fact, a minimally featured Alexa enabled device really only needs to be able to play and record audio files, as the speech synthesis aspect of the interface also occurs in the cloud. Whether or not the easy integration is worth offering up data to one of these voice service providers is up to you to decide. For these devices, it is critical to note that all voice processing happens in the cloud. There are also other cloud services such as Microsoft Azure that provide speech-recognition services and function in a similar fashion. Amazon in particular has generated a lot of attention, since it allows third parties to integrate into its voice-processing ecosystem with Alexa Voice Services. Much of the buzz around voice interfaces centers around connected devices such as Google Home and Amazon Alexa. In such cases, a DSP like the C55xx will offer the best performance for your system. These systems typically only use a limited set of commands such as “Call ,” “play “Holland Road”, by Mumford and Sons,” and “volume up/down.” Although there has been great progress in voice-recognition algorithms for traditional processors, their performance can leave something to be desired. ![]() Many infotainment systems in modern cars are a great example of an offline voice-interface system. There are three types of scenarios: offline, where all of the processing occurs locally on the device online, through cloud-based voice processing in devices like Amazon Alexa, Google Assistant or IBM Watson or a hybrid of both.Īlthough it may seem like everything under the sun needs to connect to the internet these days, there are still applications where internet connectivity just might not make sense, whether from a cost perspective or even the lack of a reliable internet connection. Both families have distinct strengths that make them better suited for particular use cases.Ī key factor when choosing between a DSP and an ARM solution is how (or if) the device will leverage a cloud-based speech platform. Texas Instruments actually offers several different products, including the Sitara™ family of ARM® processors and the C5000™ DSP family, that are capable of speech processing. Several people have asked me for advice about how to add some kind of voice interface to their projects. Then, the ability to leverage cloud technologies and big data analytics improved speech-recognition algorithm training and increased the speed and accuracy of recognition. What took voice recognition from afterthought to the darling of the computing world? First, there came significant improvements in both computing power and algorithm performance (bonus points if you know what a hidden Markov model is). Those systems were slow, inaccurate and often had a limited vocabulary. Your first encounter with a device that had a voice interface was probably a cellphone, or a very basic speech-to-text program on your PC. A voice interface may also be an additional option alongside more traditional user interfaces such as buttons or a display. ![]() In a voice interface, control – and sometimes the information presented – happens through speech. A voice interface incorporates all aspects of a traditional user interface: it should be able to present information and provide a way for users to control it. Speech recognition is only one aspect of a complete voice interface, however. Speech recognition has been around in some form since the 1950s, when engineers at Bell Labs built a system to recognize individual digits. How do these new systems work? What are the hardware requirements for creating such a device? As voice-controlled interfaces become more and more ubiquitous, I've dug in a little deeper to provide some insight into the technology that makes these devices tick ![]() Voice interfaces have emerged as an exciting new spin on how users interact with computers.
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