Results 311 to 320 of about 18,884,699 (343)
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Rethinking Mamba in Speech Processing by Self-Supervised Models
IEEE International Conference on Acoustics, Speech, and Signal ProcessingThe Mamba-based model has demonstrated outstanding performance across tasks in computer vision, natural language processing, and speech processing. However, in the realm of speech processing, the Mamba-based model’s performance varies across different ...
Xiangyu Zhang +4 more
semanticscholar +1 more source
IEEE Signal Processing Magazine, 2019
Once a popular theme of futuristic science fiction or far-fetched technology forecasts, digital home assistants with a spoken language interface have become a ubiquitous commodity today. This success has been made possible by major advancements in signal
R. Haeb-Umbach +7 more
semanticscholar +1 more source
Once a popular theme of futuristic science fiction or far-fetched technology forecasts, digital home assistants with a spoken language interface have become a ubiquitous commodity today. This success has been made possible by major advancements in signal
R. Haeb-Umbach +7 more
semanticscholar +1 more source
Flexible Piezoelectric Acoustic Sensors and Machine Learning for Speech Processing
Advances in Materials, 2019Flexible piezoelectric acoustic sensors have been developed to generate multiple sound signals with high sensitivity, shifting the paradigm of future voice technologies. Speech recognition based on advanced acoustic sensors and optimized machine learning
Y. Jung +9 more
semanticscholar +1 more source
Enhancements in Immediate Speech Emotion Detection: Harnessing Prosodic and Spectral Characteristics
International Journal of Innovative Science and Research TechnologySpeech is essential to human communication for expressing and understanding feelings. Emotional speech processing has challenges with expert data sampling, dataset organization, and computational complexity in large-scale analysis.
Zewar Shah, Shan Zhiyong, Adnan
semanticscholar +1 more source
, 2018
Analytical background and techniques: discrete-time signals, systems and transforms analysis of discrete-time speech signals probability and random processes linear model and dynamic system model optimization methods and estimation theory statistical ...
Li Deng, Douglas O'Shaughnessy
semanticscholar +1 more source
Analytical background and techniques: discrete-time signals, systems and transforms analysis of discrete-time speech signals probability and random processes linear model and dynamic system model optimization methods and estimation theory statistical ...
Li Deng, Douglas O'Shaughnessy
semanticscholar +1 more source
Survey of Deep Learning Paradigms for Speech Processing
Wireless personal communications, 2022K. Bhangale, Mohanaprasad Kothandaraman
semanticscholar +1 more source
Generative adversarial networks for speech processing: A review
Computer Speech and Language, 2022Aamir Wali +6 more
semanticscholar +1 more source
A review on speech processing using machine learning paradigm
International Journal of Speech Technology, 2021K. Bhangale, K. Mohanaprasad
semanticscholar +1 more source
The cortical organization of speech processing
Nature Reviews Neuroscience, 2007G. Hickok, D. Poeppel
semanticscholar +1 more source