Acoustic modeling based on deep learning for low-resource speech recognition: An overview
C Yu, M Kang, Y Chen, J Wu, X Zhao - IEEE Access, 2020 - ieeexplore.ieee.org
The polarization of world languages is becoming more and more obvious. Many languages,
mainly endangered languages, are of low-resource attribute due to lack of information. Both …
mainly endangered languages, are of low-resource attribute due to lack of information. Both …
Comprehensive literature review on children automatic speech recognition system, acoustic linguistic mismatch approaches and challenges
Abstract Automatic Speech Recognition (ASR) system for children is as important as for
adults since children are more dependent on these systems nowadays, such as computer …
adults since children are more dependent on these systems nowadays, such as computer …
Dynamic acoustic unit augmentation with bpe-dropout for low-resource end-to-end speech recognition
With the rapid development of speech assistants, adapting server-intended automatic
speech recognition (ASR) solutions to a direct device has become crucial. For on-device …
speech recognition (ASR) solutions to a direct device has become crucial. For on-device …
Towards a competitive end-to-end speech recognition for CHiME-6 dinner party transcription
While end-to-end ASR systems have proven competitive with the conventional hybrid
approach, they are prone to accuracy degradation when it comes to noisy and low-resource …
approach, they are prone to accuracy degradation when it comes to noisy and low-resource …
Multi-task and transfer learning in low-resource speech recognition
J Meyer - 2019 - search.proquest.com
This thesis investigates methods for Acoustic Modeling in Automatic Speech Recognition,
assuming limited access to training data in the target domain. The Acoustic Models of …
assuming limited access to training data in the target domain. The Acoustic Models of …
Exploration of end-to-end asr for openstt–russian open speech-to-text dataset
This paper presents an exploration of end-to-end automatic speech recognition systems
(ASR) for the largest open-source Russian language data set–OpenSTT. We evaluate …
(ASR) for the largest open-source Russian language data set–OpenSTT. We evaluate …
[PDF][PDF] Robust speech recognition for low-resource languages
A Romanenko - 2022 - oparu.uni-ulm.de
Process of human-machine interaction is an integral part of everyday human life in a modern
world. The various interfaces are intended to facilitate this interaction and provide maximum …
world. The various interfaces are intended to facilitate this interaction and provide maximum …
Space-and-speaker-aware acoustic modeling with effective data augmentation for recognition of multi-array conversational speech
We propose a space-and-speaker-aware (SSA) approach to acoustic modeling (AM),
denoted as SSA-AM, to improve system performances of automatic speech recognition …
denoted as SSA-AM, to improve system performances of automatic speech recognition …
Improving Tibetan End-To-End Speech Recognition with Transfer Learning
Y Li, Q Zhang, G Li - Journal of Physics: Conference Series, 2023 - iopscience.iop.org
End-to-end architecture has shown outstanding performance in the field of speech
recognition, but achieving such performance typically requires a large amount of annotated …
recognition, but achieving such performance typically requires a large amount of annotated …
Applicability of End-to-End Deep Neural Architecture to Sinhala Speech Recognition
This research presents a study on the application of end-to-end deep learning models for
Automatic Speech Recognition in the Sinhala language, which is characterized by its high …
Automatic Speech Recognition in the Sinhala language, which is characterized by its high …