Results 141 to 150 of about 2,146 (182)

Adversarial Attacks on Automatic Speech Recognition (ASR): A Survey

open access: yesIEEE Access
Automatic Speech Recognition (ASR) systems have improved and eased how humans interact with devices. ASR system converts an acoustic waveform into the relevant text form. Modern ASR inculcates deep neural networks (DNNs) to provide faster and better results.
Joobeom Yun, Amisha Bhanushali
exaly   +3 more sources

Automatic speech recognition (ASR) and its use as a tool for assessment or therapy of voice, speech, and language disorders [PDF]

open access: yesLogopedics Phoniatrics Vocology, 2009
In general opinion computerized automatic speech recognition (ASR) seems to be regarded as a method only to accomplish transcriptions from spoken language to written text and as such quite insecure and rather cumbersome. However, due to great advances in computer technology and informatics methodology ASR has nowadays become quite dependable and easier
Viveka Lyberg Ã…hlander, Andreas Maier
exaly   +4 more sources

Review on Speech Recognition System for Disabled People Using Automatic Speech Recognition (ASR)

2020 International Conference on Smart Innovations in Design, Environment, Management, Planning and Computing (ICSIDEMPC), 2020
Speech has been the catalyst in the human development. Being the natural form of communication, it directly affects the human life. Speech disability is found in many forms. Automatic Speech Recognition (ASR) can be a very good technology in developing the interfaces that will aid speech disabled person.
Maheshwari A. Ambewadikar   +1 more
exaly   +2 more sources

Feature extraction for automatic speech recognition (ASR)

Conference Record of The Thirtieth Asilomar Conference on Signals, Systems and Computers, 2002
This paper presents a new speech feature extraction technique for use in automatic speech recognition (ASR). The technique is based on a new two-dimensional series expansion that is applied to the spectrogram of a sampled speech signal. The series expansion allows for global analysis in frequency and local multiresolution analysis in time ...
B. Swartz, N. Magotra
openaire   +1 more source

A review on Gujarati language based automatic speech recognition (ASR) systems

International Journal of Speech Technology
Mohit Dua   +2 more
exaly   +2 more sources

The Impact of Face Mask and Emotion on Automatic Speech Recognition (ASR) and Speech Emotion Recognition (SER)

2023 8th International Conference on Cloud Computing and Big Data Analytics (ICCCBDA), 2023
Qi Qi Oh   +4 more
exaly   +2 more sources

Optimization of perceptually-based ASR front-end (automatic speech recognition)

ICASSP-88., International Conference on Acoustics, Speech, and Signal Processing, 2003
Several recently proposed automatic speech recognition (ASR) front-ends are experimentally compared for speaker-dependent and cross-speaker ASR. The perceptually based linear predictive front-end yields the highest accuracies. By modifying its sensitivity to spectral peaks and to spectral tilt and by utilizing the speech dynamics the authors further ...
Hynek Hermansky, Jean-Claude Junqua
openaire   +1 more source

AUTOMATIC SPEECH RECOGNITION SYSTEMS (ASR)

PROBLEMS AND PROSPECTS IN SYSTEMS AND PROCESS MODELING : Materials of the All-Russian Scientific and Practical Conference, Voronezh, October 14, 2025
The paper discusses the principles of functioning and key areas of application of Automatic Speech Recognition (ASR) systems. The main technological stages of audio-to-text conversion are analyzed. The practical application of this system in various fields is also being considered. Promising areas of development are highlighted.
openaire   +1 more source

Home - About - Disclaimer - Privacy