[HTML][HTML] Cochlear implant research and development in the twenty-first century: a critical update
RP Carlyon, T Goehring - Journal of the Association for Research in …, 2021 - Springer
Cochlear implants (CIs) are the world's most successful sensory prosthesis and have been
the subject of intense research and development in recent decades. We critically review the …
the subject of intense research and development in recent decades. We critically review the …
Multitalker speech separation with utterance-level permutation invariant training of deep recurrent neural networks
In this paper, we propose the utterance-level permutation invariant training (uPIT) technique.
uPIT is a practically applicable, end-to-end, deep-learning-based solution for speaker …
uPIT is a practically applicable, end-to-end, deep-learning-based solution for speaker …
Noise reduction in cochlear implant signal processing: A review and recent developments
Cochlear implant technology successfully restores hearing function to patients with sensory
impairment. Although cochlear implant users generally hear well in quiet, they still find noisy …
impairment. Although cochlear implant users generally hear well in quiet, they still find noisy …
On loss functions for supervised monaural time-domain speech enhancement
Many deep learning-based speech enhancement algorithms are designed to minimize the
mean-square error (MSE) in some transform domain between a predicted and a target …
mean-square error (MSE) in some transform domain between a predicted and a target …
Survey of the American Neurotology Society on cochlear implantation: part 1, candidacy assessment and expanding indications
Objective: To examine practice variance of cochlear implant candidacy assessment and off-
label indications across centers in the United States. Methods: Cross-sectional survey of the …
label indications across centers in the United States. Methods: Cross-sectional survey of the …
[HTML][HTML] Using recurrent neural networks to improve the perception of speech in non-stationary noise by people with cochlear implants
Speech-in-noise perception is a major problem for users of cochlear implants (CIs),
especially with non-stationary background noise. Noise-reduction algorithms have produced …
especially with non-stationary background noise. Noise-reduction algorithms have produced …
LSTM model for visual speech recognition through facial expressions
S Bhaskar, TM Thasleema - Multimedia Tools and Applications, 2023 - Springer
Hearing impaired persons are more expressive while speaking and expression is a salient
feature in hearing impaired Visual Speech Recognition. Most Visual Speech Recognition …
feature in hearing impaired Visual Speech Recognition. Most Visual Speech Recognition …
Combining statistical models using modified spectral subtraction method for embedded system
Speech enhancement aims at improving the overall speech signal perceptual quality using
different audio signal processing techniques. Filtering techniques, spectral restoration and …
different audio signal processing techniques. Filtering techniques, spectral restoration and …
Deep learning–based noise reduction approach to improve speech intelligibility for cochlear implant recipients
Objective: We investigate the clinical effectiveness of a novel deep learning–based noise
reduction (NR) approach under noisy conditions with challenging noise types at low signal …
reduction (NR) approach under noisy conditions with challenging noise types at low signal …
From microphone to phoneme: an end-to-end computational neural model for predicting speech perception with cochlear implants
Goal: Advances in computational models of biological systems and artificial neural networks
enable rapid virtual prototyping of neuroprostheses, accelerating innovation in the field …
enable rapid virtual prototyping of neuroprostheses, accelerating innovation in the field …