Speech encompasses speech understanding/recognition and speech synthesis.
Have you ever wondered how to add speech recognition to your Python project? If so, then keep reading! It's easier than you might think. Far from a being a fad, the overwhelming success of speech-enabled products like Amazon Alexa has proven that some degree of speech support will be an essential aspect of household tech for the foreseeable future. If you think about it, the reasons why are pretty obvious. Incorporating speech recognition into your Python application offers a level of interactivity and accessibility that few technologies can match. The accessibility improvements alone are worth considering. Speech recognition allows the elderly and the physically and visually impaired to interact with state-of-the-art products and services quickly and naturally--no GUI needed! Best of all, including speech recognition in a Python project is really simple. In this guide, you'll find out how.
ORLANDO, Fla. – Speech recognition technologies have improved so much in recent years – thanks to cloud computing and advances in machine learning – that the virtual assistants created by Amazon, Google and Apple have quickly become popular with consumers. So it should come as little surprise that the underlying natural language technology is making inroads at work, too. "I would say that it [enterprise adoption] is in early stages now, but there are certainly basic capabilities here today," Jon Arnold, of J Arnold & Associates, said at the Enterprise Connect conference last week. The main uses for speech recognition in the office will, at least at first, revolve around improving employee productivity and automating workflows. Thanks to advances in artificial intelligence (A.I.) techniques, the accuracy of speech recognition systems has improved significantly, with Google and others passing the 95% accuracy mark.
IBM is turning its cognitive computing platform Watson into a new voice assistant for enterprises. The Watson Assistant combines two Watson services -- Watson Conversation and Watson Virtual Agent -- to offer businesses a more advanced conversational experience that can be pre-trained on a range of intents. IBM said the aim was to make Watson Assistant an out-of-the-box, white-label type service that's easier for organizations to embed into their consumer-facing offerings than the Watson API. "Everyone was trying to build an assistant using the API, but building a conversational intelligent assistant from the API alone was really hard," said Bret Greenstein, IBM's global vice president for IoT products. "We realized we needed to build a hosted offering for the types of brands that engage with consumers."
One of IBM's first partners Harman will demonstrate Watson Assistant at the event through a digital cockpit aboard a Maserati GranCabrio, though the companies didn't elaborate on what it can do. In fact, IBM already released a Watson-powered voice assistant for cybersecurity early last year. You'll be able to access Watson Assistant via text or voice, depending on the device and how IBM's partner decides to incorporate it. So, you'll definitely be using voice if it's a smart speaker, but you might be able to text commands to a home device. Speaking of commands, it wasn't just designed to follow them -- it was designed to learn from your actions and remember your preferences.
Transcribing audio files or speech is vital for many companies around the world and as we know, the old school technique of Listen -- Transcribe by humans may cause fatal errors and eats up lot of your resources(humans). It requires painstaking attention to transcribe every word that's being recorded and sometimes, you have to deal with multiple audio files. 'What a drag', is exactly what Shikamaru would say if he was given the job of transcribing and here's where Google Speech API and it's latest addition, Time offsets (timestamps) comes to the rescue, for us Shikamarus. What is Google Speech API?
Imagine if the things around your house could respond to your voice even when you were shouting over a smoke alarm, keep track of each individual wandering through the house, unlock your front door just by identifying your voice, and even identify your emotions. Those are all capabilities that Microsoft is preparing to add to its Project Oxford, a set of cloud-based machine learning services introduced last May at Microsoft's Build conference. Ars took a deep dive on Project Oxford's first wave of machine learning-based services last year. Those services performed a number of image processing and recognition tasks, offered text-to-speech and speech recognition services, and even converted natural language into intent-based commands for applications. The services are the same technology used in Microsoft's Cortana personal assistant and the Skype Translator service, which translates voice calls in six languages (and text messages in 50 languages) in real-time.
Voice-recognition lets people benefit from artificial intelligence (AI) almost without a second thought – and this technology is increasingly popular. Amazon had record sales of its Alexa device last year, with millions sold over the holiday season. Google reports that since last October, it has sold at least one Google Home smart speaker every second. And at CES 2018--the world's largest tech event--we saw a host of digital assistants that use a voice interface, from Microsoft's Cortana to Baidu's DuerOS and Samsung's Bixby. This trend will continue into 2018.
Spotify may be about to take on the smart speaker market. The music streaming site is testing an in-app assistant, dubbed'Spotify Voice', that allows users to control their music with their voice. The trial has sparked rumours that the firm is about to release a smart speaker to take on the likes of Apple's HomePod and Amazon's Echo. If the rumours are true, it would allow Spotify to put a microphone and potentially camera in every user's home. Spotify may be about to take on the smart speaker market.
Spotify is experimenting with a voice-control interface, looking to free itself from reliance on Siri and Alexa and pave the way for the company's forthcoming smart speaker. Users of the service have spotted the new feature hiding in the search bar of Spotify's iOS app. After tapping the magnifying glass to search for a track or playlist, testers see a microphone icon inside a white bubble, according to the Verge. After users tap on the icon, Spotify suggests a number of typical requests for a voice-controlled music system: "Show Calvin Harris", "Play my Discover Weekly" and "Play some upbeat pop", for instance. The move comes as Spotify ramps up its efforts to build a smart speaker to challenge Apple, Amazon and Google in the hardware field, all of which have their own music services.