Automatic speech recognition errors detection and correction: A review
Abstract Even though Automatic Speech Recognition (ASR) has matured to the point of
commercial applications, high error rate in some speech recognition domains remain as one …
commercial applications, high error rate in some speech recognition domains remain as one …
Liptype: A silent speech recognizer augmented with an independent repair model
Speech recognition is unreliable in noisy places, compromises privacy and security when
around strangers, and inaccessible to people with speech disorders. Lip reading can …
around strangers, and inaccessible to people with speech disorders. Lip reading can …
Using phoneme representations to build predictive models robust to ASR errors
Even though Automatic Speech Recognition (ASR) systems significantly improved over the
last decade, they still introduce a lot of errors when they transcribe voice to text. One of the …
last decade, they still introduce a lot of errors when they transcribe voice to text. One of the …
ASR error detection in a conversational spoken language translation system
Detection of automatic speech recognition (ASR) errors is crucial to preventing their further
propagation through statistical machine translation (SMT) in conversational spoken …
propagation through statistical machine translation (SMT) in conversational spoken …
Étude sur les représentations continues de mots appliquées à la détection automatique des erreurs de reconnaissance de la parole
S Ghannay - 2017 - theses.hal.science
Nous abordons, dans cette thèse, une étude sur les représentations continues de mots (en
anglais word embeddings) appliquées à la détection automatique des erreurs dans les …
anglais word embeddings) appliquées à la détection automatique des erreurs dans les …
ASR error detection via audio-transcript entailment
Despite improved performances of the latest Automatic Speech Recognition (ASR) systems,
transcription errors are still unavoidable. These errors can have a considerable impact in …
transcription errors are still unavoidable. These errors can have a considerable impact in …
System-independent asr error detection and classification using recurrent neural network
This paper addresses errors in continuous Automatic Speech Recognition (ASR) in two
stages: error detection and error type classification. Unlike the majority of research in this …
stages: error detection and error type classification. Unlike the majority of research in this …
[PDF][PDF] Driving rover with segment-based asr quality estimation
ROVER is a widely used method to combine the output of multiple automatic speech
recognition (ASR) systems. Though effective, the basic approach and its variants suffer from …
recognition (ASR) systems. Though effective, the basic approach and its variants suffer from …
Automatically detecting likely edits in clinical notes created using automatic speech recognition
The use of automatic speech recognition (ASR) to create clinical notes has the potential to
reduce costs associated with note creation for electronic medical records, but at current …
reduce costs associated with note creation for electronic medical records, but at current …
[PDF][PDF] Adaptive Listening Difficulty Detection for L2 Learners Through Moderating ASR Resources.
Teaching listening skills to those learning a second language (L2) is one of the most
challenging tasks mainly because predicting L2 listening difficulties is not always …
challenging tasks mainly because predicting L2 listening difficulties is not always …