Results 101 to 110 of about 1,864,117 (195)

Effects of Base-Frequency and Spectral Envelope on Deep-Learning Speech Separation and Recognition Models

, 2019
Base-frequencies (F0) and spectral envelopes play an important role in speech separation and recognition by humans. Two experiments were conducted to study how trained networks for multi-speaker speech separation/recognition are affected by difference of
Y. Wei, Hui, J., Wei, Y., So, R. H.Y., R.H.Y. So, S.T. Chen, Chen, S. T., J. Hui   +7 more
core   +1 more source

A robust speaker-aware speech separation technique using composite speech models [PDF]

, 2020
Speech separation techniques are commonly used for selective filtering of audio sources. Early works apply acoustic profiling to discriminate against multiple audio sources.
Mak, Wen Xuan
core  

Iteratively Refined Multi-Channel Speech Separation

Applied Sciences
The combination of neural networks and beamforming has proven very effective in multi-channel speech separation, but its performance faces a challenge in complex environments.
Xu Zhang, Changchun Bao, Xue Yang, Jing Zhou   +3 more
doaj   +1 more source

Separate and Reconstruct: Asymmetric Encoder-Decoder for Speech Separation

Advances in Neural Information Processing Systems 37
In NeurIPS 2024; Project Page: https://dmlguq456.github.io ...
Ui-Hyeop Shin, Sangyoun Lee, Taehan Kim, Hyung-Min Park   +3 more
openaire   +3 more sources

SPEECH SEPARATION BY MODIFIED DEEP NON-LINEAR FILTERING MODEL

Електроніка та інформаційні технології
Background. Automatic Speech Recognition (ASR) systems in single-channel experimental setups perform poorly in real-world scenarios when several talkers are placed near a microphone.
Andrii Tsemko, Ivan Karbovnyk
doaj   +1 more source

Autoregressive Modelling for Linear Prediction of Ultrasonic Speech [PDF]

, 2010
Ultrasonic speech is a novel research area with significant applications: as a speech-aid prosthesis for patients with voice box difficulties, silent speech interfaces, secure mode of communication in mobile phones and as a communication medium in high ...
McLoughlin, Ian V., Ahmadi, Farzaneh, Sharifzadeh, Hamid R., Ahmadi, Farzaneh (R18008)   +3 more
core  

Multi Learning on Discriminative Embedding Vector and Masking for Cocktail Party Effect

IEEE Access
Nowadays, the incorporation of cutting-edge deep learning techniques into speech processing is regarded as groundbreaking, exerting a significant influence on various domains such as speech recognition, speech separation, audio-visual content creation ...
Duyen Nguyen Thi, Ha Minh Tan, Duc-Quang Vu, Trung-Nghia Phung   +3 more
doaj   +1 more source

The effect of visual speech timing and form cues on the processing of speech and nonspeech

, 2013
Auditory speech processing is facilitated when the talker's face and head movements (visual speech) can be seen. This effect occurs over a range of spoken word tasks, e.g., for spoken word identification (determining which word was presented) and for ...
Davis, Chris (R11605), Kim, Jeesun (R11607)   +1 more
core  

Binaural Speech Separation Using Binary and Ratio Time-Frequency Masks

International Journal of Information and Communication Technology Research, 2014
In many speech applications, the target signal is corrupted by highly correlated noise sources. Separating desired speaker signals from the mixture is one of the most challenging research topics in speech signal processing. This paper proposes a binaural
Azar Mahmoodzadeh, Hamidreza Abutalebi, Hamid Soltanian-Zadeh, Hamid Sheikhzadeh   +3 more
doaj  

A Real-Time Speech Separation Method Based on Camera and Microphone Array Sensors Fusion Approach. [PDF]

Sensors (Basel), 2020
Liu CF, Ciou WS, Chen PT, Du YC.
europepmc   +1 more source