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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.
Text-to-speech (TTS) refers to the ability of computers to read text aloud. A TTS engine converts written text to a phonemic representation, then converts the phonemic representation to waveforms that can be output as sound. TTS engines with different languages, dialects and specialized vocabularies are available through third-party publishers ...
From £0.06 per minute of audio: Mobile devices and smartphones ... Yap Speech Cloud – Speech-to-text platform acquired by Amazon.com. See also
Text-to-phoneme conversion: Converts each word to phonemes. A phoneme is a basic unit of sound in a language. Prosody analysis: Processes the sentence structure, words, and phonemes to determine the appropriate prosody for the sentence. Waveform production: Uses the phonemes and prosody information to produce the audio waveform for each sentence.
An audio conversion app (also known as an audio converter) transcodes one audio file format into another; for example, from FLAC into MP3.It may allow selection of encoding parameters for each of the output file to optimize its quality and size.
Speech Recognition & Synthesis, formerly known as Speech Services, [3] is a screen reader application developed by Google for its Android operating system. It powers applications to read aloud (speak) the text on the screen, with support for many languages.
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