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e. 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 (vocoder). Deep neural networks (DNN) are trained using a large amount of recorded speech and, in the case of a text-to-speech system, the associated labels and/or input text.
15.ai is a non-commercial freeware artificial intelligence web application that generates natural emotive high-fidelity [a] text-to-speech voices from an assortment of fictional characters from a variety of media sources.
ElevenLabs is primarily known for its browser-based, AI-assisted text-to-speech software, Speech Synthesis, which can produce lifelike speech by synthesizing vocal emotion and intonation. [ 10] The company states that its models are trained to interpret the context in the text, and adjust the intonation and pacing accordingly. [ 11]
Byte pair encoding. Byte pair encoding[ 1][ 2] (also known as digram coding) [ 3] is an algorithm, first described in 1994 by Philip Gage for encoding strings of text into tabular form for use in downstream modeling. [ 4] Its modification is notable as the large language model tokenizer with an ability to combine both tokens that encode single ...
A text-to-speech system (or "engine") is composed of two parts: [3] a front-end and a back-end. The front-end has two major tasks. First, it converts raw text containing symbols like numbers and abbreviations into the equivalent of written-out words. This process is often called text normalization, pre-processing, or tokenization.
The International Radiotelephony Spelling Alphabet or simply Radiotelephony Spelling Alphabet, commonly known as the NATO phonetic alphabet, is the most widely used set of clear-code words for communicating the letters of the Roman alphabet. Technically a radiotelephonic spelling alphabet, it goes by various names, including NATO spelling ...
Whisper is a machine learning model for speech recognition and transcription, created by OpenAI and first released as open-source software in September 2022. [ 2] It is capable of transcribing speech in English and several other languages, [ 3] and is also capable of translating several non-English languages into English.
Within 16 cumulative hours of use, the neuroprosthesis allowed a speech rate of 32 words per minute and incorrectly identified only 2.5% of attempted words, the researchers said.