Results 21 to 30 of about 39,246 (256)

Exploring convolutional, recurrent, and hybrid deep neural networks for speech and music detection in a large audio dataset [PDF]

, 2019
The version of record of this article, first published in EURASIP Journal on Audio, Speech, and Music Processing, is available online at Publisher’s website: http://dx.doi.org/10.1186/s13636-019-0152-1Audio signals represent a wide diversity of acoustic ...
Benito Gorrón, Diego de, González Rodríguez, Joaquín, Torre Toledano, Doroteo, Lozano Díez, Alicia   +3 more
core   +1 more source

A Hybrid Speech Enhancement Algorithm for Voice Assistance Application

Sensors, 2021
In recent years, speech recognition technology has become a more common notion. Speech quality and intelligibility are critical for the convenience and accuracy of information transmission in speech recognition.
Jenifa Gnanamanickam, Yuvaraj Natarajan, Sri Preethaa K. R.   +2 more
doaj   +1 more source

Overlap-add Windows with Maximum Energy Concentration for Speech and Audio Processing

, 2019
Processing of speech and audio signals with time-frequency representations require windowing methods which allow perfect reconstruction of the original signal and where processing artifacts have a predictable behavior.
Bäckström, T., Tom Backstrom
core   +1 more source

MPEG-1 bitstreams processing for audio content analysis [PDF]

, 2002
In this paper, we present the MPEG-1 Audio bitstreams processing work which our research group is involved in. This work is primarily based on the processing of the encoded bitstream, and the extraction of useful audio features for the purposes of ...
Murphy, Noel, O'Connor, Noel E., Duffner, Orla, Marlow, Seán, O\u27Connor, Noel E., Jarina, Roman   +5 more
core   +2 more sources

A non‐uniform NSAF‐SF adaptive algorithm

Electronics Letters, 2021
Speech enhancement and acoustic noise reduction are two important tasks where adaptive filtering algorithms emerge as a competitive solution. Unfortunately, in such applications the convergence rate of the system identification is hampered when the ...
P. P. S. Xavier, M. R. Petraglia, D. B. Haddad   +2 more
doaj   +1 more source

End-to-End Optimization of Source Models for Speech and Audio Coding Using a Machine Learning Framework

, 2019
Speech coding is the most commonly used application of speech processing. Accumulated layers of improvements have however made codecs so complex that optimization of individual modules becomes increasingly difficult. This work introduces machine learning
Bäckström, Tom, Tom Bäckström
core   +1 more source

Sequential Complexity as a Descriptor for Musical Similarity [PDF]

, 2014
We propose string compressibility as a descriptor of temporal struc-ture in audio, for the purpose of determining musical similarity. Our descriptors are based on computing track-wise compression rates of quan-tised audio features, using multiple ...
Mauch, M, Peter Foster, Matthias Mauch, Simon Dixon, Foster, P, Dixon, S   +5 more
core   +1 more source

On dynamic stream weighting for Audio-Visual Speech Recognition [PDF]

, 2012
The integration of audio and visual information improves speech recognition performance, specially in the presence of noise. In these circumstances it is necessary to introduce audio and visual weights to control the contribution of each modality to the ...
Gurban, Mihai, Thiran, Jean-Philippe, Estellers Casas, Virginia, Mihai Gurban, Virginia Estellers, Jean-Philippe Thiran   +5 more
core   +2 more sources

“We Cannot Talk as a Family”: Complexities of Survivorship Communication Among Hispanic/Latino Young Adult Survivors of Childhood Cancer, Parents, and Clinicians

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Young adult childhood cancer survivors (YA‐CCS) have an increased risk of treatment‐related health complications throughout their lives. Lifelong survivorship care is recommended, yet many YA‐CCS experience disruptions in care during pediatric‐to‐adult transitions and do not receive recommended survivorship care.
Kevin Shanchen Pu, Nicole Fernández‐Viña, Briana C. Martin‐Villa, Daniela Ramirez, Rebecca M. Lewinsohn, Mary Smith, Heidi Boynton, Lidia Schapira, Stephanie M. Smith   +8 more
wiley   +1 more source

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