"Automatic speech recognition (ASR) is one of the fastest growing and commercially most promising applications of natural language technology. Speech is the most natural communicative medium for humans in many situations, including applications such as giving dictation; querying database or information-retrieval systems; or generally giving commands to a computer or other device, especially in environments where keyboard input is awkward or impossible (for example, because one's hands are required for other tasks)."
– from Linguistic Knowledge and Empirical Methods in Speech Recognition. By Andreas Stolcke. (1997). AI Magazine 18 (4): 25-32.
French startup Snips is now helping you build a custom voice assistant for your device. Snips doesn't use Amazon's Alexa Voice Service or Google Assistant SDK -- the company is building its own voice assistant so that you can embed it on your devices. And the best part is that it doesn't send anything to the cloud as it works offline. If you want to understand how a voice assistant works, you can split it into multiple parts. First, it starts with a wakeword.
One big obstacle, they discovered, was that the research area was so new that there weren't any existing datasets available for them to test their hypotheses. The FigureQA dataset, which the team released publicly earlier this fall, is one of a number of datasets, metrics and other tools for testing AI systems that Microsoft researchers and engineers have created and shared in recent years. Researchers all over the world use them to see how well their AI systems do at everything from translating conversational speech to predicting the next word a person may want to type. The teams say these tools provide a codified way for everyone from academic researchers to industry experts to test their systems, compare their work and learn from each other. "It clarifies our goals, and then others in the research community can say, 'OK, I see where you're going,'" said Rangan Majumder, a partner group program manager within Microsoft's Bing division who also leads development of the MS MARCO machine reading comprehension dataset.
Doctors work long hours, and a disturbingly large part of that is documenting patient visits -- one study indicates that they spend 6 hours of an 11-hour day making sure their records are up to snuff. But how do you streamline that work without hiring an army of note takers? Google Brain and Stanford think voice recognition is the answer. They recently partnered on a study that used automatic speech recognition (similar to what you'd find in Google Assistant or Google Translate) to transcribe both doctors and patients during a session. The approach can not only distinguish the voices in the room, but also the subjects.
In Yana Welinder's house, her son will say "Papa!' to either her or her husband. "Mama" isn't in his vocabulary yet. But her son, who just turned 1, does have a name for another prominent figure in the household: "Aga!" Or, as the rest of us know her, Alexa -- Amazon's voice assistant. Welinder's son can't summon the assistant from the Echo speaker in their home on his own. But he knows what he's trying to do.
If you're using Microsoft's word processor on a Windows computer, you have several voice-recognition options. This section will address three of them, mostly focusing on the Windows Speech Recognition program built into this operating system. The integrated voice-recognition service will work on any Windows application, including Microsoft Word. To launch it, type "windows speech recognition" into the search box on the taskbar, then click the app when it appears. The first time you run this software, you'll need to teach the utility to recognize your voice.
It seems like everyone is building in Alexa or Google Assistant smarts to their speakers, thermostats and cars these days. If you haven't yet had enough of devices you can talk to, the Olie lamp over at Indiegogo might interest you. It's a cute little desk, floor or table lamp that will have a voice assistant from Amazon or Google and a neat little Qi wireless charging station built right in (to the table-sized Olie). Sure, this is Indiegogo, so don't get your hopes up. If the project is funded and the lamp is produced, though, you'll get an lamp made of aluminum in one of two finishes, black or chrome, that you can talk to.
You would be forgiven for thinking that your private conversations were just that, but Google's Voice Assistant could be recording everything you say. The feature is designed to allow users to talk to enabled gadgets to search the web, launch apps and use other interactive functions. As part of this process, Google keeps copies of clips made each time you activate it, but it has emerged that background chatter could be enough to trigger recording. You would be forgiven for thinking that your private conversations were just that, but Google's Voice Assistant could be recording everything you say. This will enable you to see all the information Google has stored on the history of your account.
Having this solution along with an IoT platform allows you to build a smart solution over a very wide area. There are many different projects and services for human speech recognition like Pocketsphinx, Google's Speech API, and many others. Such applications and services recognize speech to text with pretty good quality, but none of them can determine different sounds captured by the microphone. What was on record: human speech, animal sounds, or music playing? We were faced with this task and decided to investigate and build sample projects which will be able to classify different sounds using machine learning algorithms.
We are on the cusp of a technological revolution whereby increasingly sophisticated tasks can be handed over from humans to machines. Organizations are embracing advancements in artificial intelligence, robotics, and natural language technology to adopt platforms that can "learn" from experience and actually interact with users. The next wave of these chatbots will have enhanced real-time data analytics and automation capabilities and the ability to integrate intelligence across multiple digital channels to engage customers in natural conversations using voice or text. When you have a question about a product or service, you will be presented with the best agent, who possesses the entire company's collective experience and a huge wealth of knowledge to address your issue. Think about what happens today when you call your bank or the help desk of an ecommerce site.