Automatic speech recognition method based on deep learning approaches for Uzbek language
Communication has been an important aspect of human life, civilization, and globalization
for thousands of years. Biometric analysis, education, security, healthcare, and smart cities …
for thousands of years. Biometric analysis, education, security, healthcare, and smart cities …
A study of transformer-based end-to-end speech recognition system for Kazakh language
Today, the Transformer model, which allows parallelization and also has its own internal
attention, has been widely used in the field of speech recognition. The great advantage of …
attention, has been widely used in the field of speech recognition. The great advantage of …
Hybrid end-to-end model for Kazakh speech recognition
Modern automatic speech recognition systems based on end-to-end (E2E) models show
good results in terms of the accuracy of language recognition, which have large corpuses for …
good results in terms of the accuracy of language recognition, which have large corpuses for …
Identifying the influence of transfer learning method in develo** an end-to-end automatic speech recognition system with a low data level
Ensuring the best quality and performance of modern speech technologies, today, is
possible based on the widespread use of machine learning methods. The idea of this project …
possible based on the widespread use of machine learning methods. The idea of this project …
Efficient conformer for agglutinative language ASR model using low-rank approximation and balanced softmax
T Guo, N Yolwas, W Slamu - Applied Sciences, 2023 - mdpi.com
Recently, the performance of end-to-end speech recognition has been further improved
based on the proposed Conformer framework, which has also been widely used in the field …
based on the proposed Conformer framework, which has also been widely used in the field …
[HTML][HTML] End-to-end neural automatic speech recognition system for low resource languages
The rising popularity of end-to-end (E2E) automatic speech recognition (ASR) systems can
be attributed to their ability to learn complex speech patterns directly from raw data …
be attributed to their ability to learn complex speech patterns directly from raw data …
CAST: Context-association architecture with simulated long-utterance training for mandarin speech recognition
Y Ming, B Lyu, Z Li - Speech Communication, 2023 - Elsevier
Abstract End-to-end (E2E) models are widely used because they significantly improve the
performance of automatic speech recognition (ASR). However, based on the limitations of …
performance of automatic speech recognition (ASR). However, based on the limitations of …
Continuous Sign Language Recognition and Its Translation into Intonation-Colored Speech
N Amangeldy, A Ukenova, G Bekmanova… - Sensors, 2023 - mdpi.com
This article is devoted to solving the problem of converting sign language into a consistent
text with intonation markup for subsequent voice synthesis of sign phrases by speech with …
text with intonation markup for subsequent voice synthesis of sign phrases by speech with …
The Development of a Kazakh Speech Recognition Model Using a Convolutional Neural Network with Fixed Character Level Filters
This study is devoted to the transcription of human speech in the Kazakh language in
dynamically changing conditions. It discusses key aspects related to the phonetic structure …
dynamically changing conditions. It discusses key aspects related to the phonetic structure …
[PDF][PDF] Kazakh Speech Recognition: Wav2vec2. 0 vs. Whisper
Z Kozhirbayev - Journal of Advances in Information Technology, 2023 - jait.us
In recent years, the progress made in neural models trained on extensive multilingual text or
speech data has shown great potential for improving the status of underresourced …
speech data has shown great potential for improving the status of underresourced …