It was launched in 1999 by Carnegie Mellon University.
#MICROSOFT SPEECH TO TEXT RESTFUL API OFFLINE#
Sphinx is an open-source, offline speech recognition toolkit that can be used to convert speech to text.
IBM's clients include Samsung, Procter & Gamble, and The Weather Channel. It supports a wide range of languages and has a free tier that allows for 1 hour of usage per month. IBM Watson Speech to Text is provided by IBM and uses deep learning models to recognize speech. Microsoft's clients include LG, KPMG, and General Electric. It supports a wide range of languages and has a free tier that allows for 5 hours of usage per month. Microsoft Azure Speech Services is provided by Microsoft and uses deep learning models to recognize speech. Google Cloud's clients include Spotify, Snapchat, and HSBC. It supports a wide range of languages and has a free tier that allows for 60 minutes of usage per month. Google Cloud Speech-to-Text API is provided by Google Cloud and uses deep learning models to recognize speech. For example, you can use speech-to-text technology to create a voice-controlled smart thermostat that can adjust the temperature of your home based on your spoken commands, or you can use it to build a voice-controlled robot that can navigate and perform tasks in your home or office. These APIs can help you to build more intelligent and user-friendly devices, by providing you with the ability to understand natural language commands, transcribe speech to text, and convert text to speech, which can help to make your IoT devices more accessible and easy to use. Some of the most popular free speech-to-text APIs include Google Cloud Speech-to-Text API, Microsoft Azure Speech Services, IBM Watson Speech to Text, Sphinx, Amazon Transcribe, Houndify, Speechmatics, Deep Speech and OpenVINO.
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