Results 51 to 60 of about 1,183,917 (259)

Deep Speech Based End-to-End Automated Speech Recognition (ASR) for Indian-English Accents [PDF]

arXiv, 2022
Automated Speech Recognition (ASR) is an interdisciplinary application of computer science and linguistics that enable us to derive the transcription from the uttered speech waveform. It finds several applications in Military like High-performance fighter aircraft, helicopters, air-traffic controller.
arxiv  

Robust emotional speech recognition based on binaural model and emotional auditory mask in noisy environments

EURASIP Journal on Audio, Speech, and Music Processing, 2018
The performance of automatic speech recognition systems degrades in the presence of emotional states and in adverse environments (e.g., noisy conditions).
Meysam Bashirpour, Masoud Geravanchizadeh   +1 more
doaj   +1 more source

Why has (reasonably accurate) Automatic Speech Recognition been so hard to achieve? [PDF]

, 2009
Hidden Markov models (HMMs) have been successfully applied to automatic speech recognition for more than 35 years in spite of the fact that a key HMM assumption -- the statistical independence of frames -- is obviously violated by speech data.
Gillick, Larry, Wegmann, Steven
core  

A Protection Scheme With Speech Processing Against Audio Adversarial Examples

IEEE Access
Machine learning technologies have improved the accuracy of speech recognition systems, and devices using those systems, such as smart speakers and AI assistants, are now in wide use. However, speech recognition systems have security vulnerabilities.
Yuya Tarutani, Taisei Yamamoto, Yukinobu Fukushima, Tokumi Yokohira   +3 more
doaj   +1 more source

Speech Recognition for the iCub Platform [PDF]

Frontiers in Robotics and AI, 2018
This paper describes open source software (available at https://github.com/robotology/natural-speech) to build automatic speech recognition (ASR) systems and run them within the YARP platform. The toolkit is designed (i) to allow non-ASR experts to easily create their own ASR system and run it on iCub and (ii) to build deep learning-based models ...
Bertrand Higy, Bertrand Higy, Alessio Mereta, Giorgio Metta, Leonardo Badino   +4 more
openaire   +5 more sources

Speech Emotion Recognition Using an Enhanced Kernel Isomap for Human-Robot Interaction

International Journal of Advanced Robotic Systems, 2013
Speech emotion recognition is currently an active research subject and has attracted extensive interest in the science community due to its vital application to human-robot interaction.
Shiqing Zhang, Xiaoming Zhao, Bicheng Lei   +2 more
doaj   +1 more source

A novel silent speech recognition approach based on parallel inception convolutional neural network and Mel frequency spectral coefficient

Frontiers in Neurorobotics, 2022
Silent speech recognition breaks the limitations of automatic speech recognition when acoustic signals cannot be produced or captured clearly, but still has a long way to go before being ready for any real-life applications.
Jinghan Wu, Jinghan Wu, Yakun Zhang, Yakun Zhang, Liang Xie, Liang Xie, Ye Yan, Ye Yan, Ye Yan, Xu Zhang, Shuang Liu, Xingwei An, Erwei Yin, Erwei Yin, Erwei Yin, Dong Ming   +15 more
doaj   +1 more source

Two and three-dimensional visual articulatory models for pronunciation training and for treatment of speech disorders [PDF]

, 2008
Visual articulatory models can be used for visualizing vocal tract articulatory speech movements. This information may be helpful in pronunciation training or in therapy of speech disorders.
Graf-Borttscheller, Verena, Kröger, Bernd J., Lowit, Anja   +2 more
core  

Investigation of DNN-HMM and Lattice Free Maximum Mutual Information Approaches for Impaired Speech Recognition

IEEE Access, 2021
Assistive tools that recognize impaired speech due to neurological disorders are emerging and its a fairly complex task. An Intelligent Impaired Speech Recognition system helps persons with speech impairment to improve their interactions with outside ...
Vishnika Veni S, Chandrakala S
doaj   +1 more source

Multilingual Speech Recognition

, 2000
The speech-to-speech translation system Verbmobil requires a multilingual setting. This consists of recognition engines in the three languages German, English and Japanese that run in one common framework together with a language identification component which is able to switch between these recognizers.
Waibel, Alex, Soltau, Hagen, Schultz, Tanja, Schaaf, Thomas, Metze, Florian   +4 more
openaire   +4 more sources