Results 1 to 10 of about 48,773 (160)
A study of transformer-based end-to-end speech recognition system for Kazakh language [PDF]
Scientific Reports, 2022 Today, the Transformer model, which allows parallelization and also has its own internal attention, has been widely used in the field of speech recognition.
Mamyrbayev Orken +4 more
doaj +2 more sources
An Overview of End-to-End Automatic Speech Recognition [PDF]
Symmetry, 2019 Automatic speech recognition, especially large vocabulary continuous speech recognition, is an important issue in the field of machine learning. For a long time, the hidden Markov model (HMM)-Gaussian mixed model (GMM) has been the mainstream speech recognition framework.
Dong Wang
exaly +2 more sources
End-to-End-Based Tibetan Multitask Speech Recognition
IEEE Access, 2019 To date, speech recognition technology for majority languages has been applied in wireless communication devices successfully. However, as a minority language, Tibetan has very limited resources for conventional automatic speech recognition.
Yue Zhao +4 more
doaj +3 more sources
Towards end-to-end speech recognition with transfer learning
EURASIP Journal on Audio, Speech, and Music Processing, 2018 A transfer learning-based end-to-end speech recognition approach is presented in two levels in our framework. Firstly, a feature extraction approach combining multilingual deep neural network (DNN) training with matrix factorization algorithm is ...
Chu-Xiong Qin, Dan Qu, Lian-Hai Zhang
doaj +3 more sources
MKD: Mixup-Based Knowledge Distillation for Mandarin End-to-End Speech Recognition
Algorithms, 2022 Large-scale automatic speech recognition model has achieved impressive performance. However, huge computational resources and massive amount of data are required to train an ASR model.
Xing Wu +4 more
doaj +3 more sources
Improving End-to-End Models for Children’s Speech Recognition
Applied SciencesChildren’s Speech Recognition (CSR) is a challenging task due to the high variability in children’s speech patterns and limited amount of available annotated children’s speech data. We aim to improve CSR in the often-occurring scenario that no children’s
Tanvina Patel, Odette Scharenborg
doaj +3 more sources
Variable Scale Pruning for Transformer Model Compression in End-to-End Speech Recognition
Algorithms, 2023 Transformer models are being increasingly used in end-to-end speech recognition systems for their performance. However, their substantial size poses challenges for deploying them in real-world applications.
Leila Ben Letaifa, Jean-Luc Rouas
doaj +3 more sources
Accented Speech Recognition Based on End-to-End Domain Adversarial Training of Neural Networks
Applied Sciences, 2021 The performance of automatic speech recognition (ASR) may be degraded when accented speech is recognized because the speech has some linguistic differences from standard speech.
Hyeong-Ju Na, Jeong-Sik Park
doaj +3 more sources
End-to-End Speech Recognition: A Survey
IEEE/ACM Transactions on Audio Speech and Language ProcessingSubmitted to IEEE/ACM Transactions on Audio, Speech, and Language ...
Tara Sainath +2 more
exaly +5 more sources
Arabic speech recognition using end‐to‐end deep learning
IET Signal Processing, 2021 Arabic automatic speech recognition (ASR) methods with diacritics have the ability to be integrated with other systems better than Arabic ASR methods without diacritics.
Hamzah A. Alsayadi +3 more
doaj +1 more source