WebDec 31, 2016 · Based on this phenomenon, a novel phone synchronous decoding framework is proposed by removing tremendous search redundancy due to blank frames, which results in significant search speed up. The framework naturally leads to an extremely compact phone-level acoustic space representation: CTC lattice. Weba novel phone synchronous decoding framework is proposed by removing tremendous …
Phone Synchronous Speech Recognition With CTC Lattices
WebConnectionist temporal classification CTC has recently shown improved performance and … WebWe further show that the CTC alignment, a by-product of the CTC decoder, can also be used to perform lattice reduction for RNN-T during training. Our method is evaluated on the Librispeech and SpeechStew tasks. We demonstrate that the proposed method is able to accelerate the RNN-T inference by 2.2 times with similar or slightly better word ... oxfam barbour
Zhehuai (Tom) Chen - GitHub Pages
WebSep 30, 2024 · The WFST based CTC decoding algorithm requires three or four WFSTs, such as grammar WFST (denoted as G ), context independent phoneme or character (CI-PHN/CHAR) lexicon WFST ( L ), token WFST ( R) which ignore the occurrences of the blank label and discard the repetitions of any non-blank labels, as well as condext dependent … WebIn large vocabulary continuous speech recognition (LVCSR) the acoustic model computations often account for the largest processing overhead. Our weighted finite state transducer (WFST) based decoding engine can utilize a commodity graphics processing unit (GPU) to perform the acoustic computations to move this burden off the main processor. … WebAn automatic speech recognition system searches for the word transcription with the highest overall score for a given acoustic observation sequence. This overall score is typically a weighted combination of a language model score and an acoustic model score. We propose including a third score, which measures the similarity of the word … jeff bezos headshot