A review of deep learning techniques for speech processing
The field of speech processing has undergone a transformative shift with the advent of deep
learning. The use of multiple processing layers has enabled the creation of models capable …
learning. The use of multiple processing layers has enabled the creation of models capable …
[图书][B] Designing and evaluating language corpora: A practical framework for corpus representativeness
Corpora are ubiquitous in linguistic research, yet to date, there has been no consensus on
how to conceptualize corpus representativeness and collect corpus samples. This …
how to conceptualize corpus representativeness and collect corpus samples. This …
speechocean762: An open-source non-native english speech corpus for pronunciation assessment
This paper introduces a new open-source speech corpus named" speechocean762"
designed for pronunciation assessment use, consisting of 5000 English utterances from 250 …
designed for pronunciation assessment use, consisting of 5000 English utterances from 250 …
What all do audio transformer models hear? probing acoustic representations for language delivery and its structure
In recent times, BERT based transformer models have become an inseparable part of
the'tech stack'of text processing models. Similar progress is being observed in the speech …
the'tech stack'of text processing models. Similar progress is being observed in the speech …
Personalizing ASR for dysarthric and accented speech with limited data
Automatic speech recognition (ASR) systems have dramatically improved over the last few
years. ASR systems are most often trained from'typical'speech, which means that …
years. ASR systems are most often trained from'typical'speech, which means that …
[PDF][PDF] Explore wav2vec 2.0 for Mispronunciation Detection.
This paper presents an initial attempt to use self-supervised learning for Mispronunciaiton
Detection. Unlike existing methods that use speech recognition corpus to train models, we …
Detection. Unlike existing methods that use speech recognition corpus to train models, we …
[PDF][PDF] A Study on Fine-Tuning wav2vec2. 0 Model for the Task of Mispronunciation Detection and Diagnosis.
Mispronunciation detection and diagnosis (MDD) technology is a key component of
computer-assisted pronunciation training system (CAPT). The mainstream method is based …
computer-assisted pronunciation training system (CAPT). The mainstream method is based …
Automatic Pronunciation Assessment--A Review
Pronunciation assessment and its application in computer-aided pronunciation training
(CAPT) have seen impressive progress in recent years. With the rapid growth in language …
(CAPT) have seen impressive progress in recent years. With the rapid growth in language …
SED-MDD: Towards sentence dependent end-to-end mispronunciation detection and diagnosis
Y Feng, G Fu, Q Chen, K Chen - ICASSP 2020-2020 IEEE …, 2020 - ieeexplore.ieee.org
A mispronunciation detection and diagnosis (MD&D) system typically consists of multiple
stages, such as an acoustic model, a language model and a Viterbi decoder. In order to …
stages, such as an acoustic model, a language model and a Viterbi decoder. In order to …
A full text-dependent end to end mispronunciation detection and diagnosis with easy data augmentation techniques
Recently, end-to-end mispronunciation detection and diagnosis (MD&D) systems has
become a popular alternative to greatly simplify the model-building process of conventional …
become a popular alternative to greatly simplify the model-building process of conventional …