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The Speech Application Programming Interface or SAPI is an API developed by Microsoft to allow the use of speech recognition and speech synthesis within Windows applications. To date, a number of versions of the API have been released, which have shipped either as part of a Speech SDK or as part of the Windows OS itself.
In 2010, Microsoft released the newer Speech Platform compatible voices for Speech Recognition and Text-to-Speech for use with client and server applications. These voices are available in 26 languages [3] and can be installed on Windows client and server operating systems. Speech Platform voices, unlike SAPI 5 voices, are female-only; no male ...
It is also used to produce sounds via Azure Cognitive Services' Text to Speech API or when writing third-party skills for Google Assistant or Amazon Alexa. SSML is based on the Java Speech Markup Language (JSML) developed by Sun Microsystems , although the current recommendation was developed mostly by speech synthesis vendors.
Speech recognition is an interdisciplinary subfield of computer science and computational linguistics that develops methodologies and technologies that enable the recognition and translation of spoken language into text by computers. It is also known as automatic speech recognition (ASR), computer speech recognition or speech-to-text (STT).
Deep learning speech synthesis refers to the application of deep learning models to generate natural-sounding human speech from written text (text-to-speech) or spectrum . Deep neural networks are trained using large amounts of recorded speech and, in the case of a text-to-speech system, the associated labels and/or input text.
The major steps in producing speech from text are as follows: Structure analysis: Processes the input text to determine where paragraphs, sentences, and other structures start and end. For most languages, punctuation and formatting data are used in this stage. Text pre-processing: Analyzes the input text for special constructs of the language.
Text-to-speech software has been widely available for desktop computers since the 1990s, and Moore’s Law increases in CPU and memory capabilities have contributed to making their inclusion in software and hardware solutions more feasible. In the wake of these trends, text-to-speech is finding its way into everyday consumer electronics. [5]
All students get access to Cloud resources and Azure credit. student must register at Microsoft Azure for Student [6] and verify their identity through their verified educational institutions. If an institution is not listed on the available list, the user may manually verify their student status by uploading a proof such as an ID card.