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Back-end or deferred speech recognition is where the provider dictates into a digital dictation system, the voice is routed through a speech-recognition machine and the recognized draft document is routed along with the original voice file to the editor, where the draft is edited and report finalized. Deferred speech recognition is widely used ...
RWTH ASR (short RASR) is a proprietary speech recognition toolkit. The toolkit includes newly developed speech recognition technology for the development of automatic speech recognition systems. It has been developed by the Human Language Technology and Pattern Recognition Group at RWTH Aachen University .
The program encompassed three main challenges: automatic speech recognition, machine translation, and information retrieval. [1] The focus of the program was on recognizing speech in Mandarin and Arabic and translating it to English. Teams led by IBM, BBN (led by John Makhoul), and SRI participated in the program. [2]
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, and is also capable of translating several non-English languages into English. [1]
Common Voice is a crowdsourcing project started by Mozilla to create a free database for speech recognition software. The project is supported by volunteers who record sample sentences with a microphone and review recordings of other users. The transcribed sentences are collected in a voice database available under the public domain license CC0 ...
The IARPA Babel program developed speech recognition technology for noisy telephone conversations. The main goal of the program was to improve the performance of keyword search on languages with very little transcribed data, i.e. low-resource languages.
TIMIT is a corpus of phonemically and lexically transcribed speech of American English speakers of different sexes and dialects. Each transcribed element has been delineated in time. TIMIT was designed to further acoustic-phonetic knowledge and automatic speech recognition systems.
Voice activity detection (VAD), also known as speech activity detection or speech detection, is the detection of the presence or absence of human speech, used in speech processing. [1] The main uses of VAD are in speaker diarization , speech coding and speech recognition . [ 2 ]
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