Results 1 to 10 of about 7,706,916 (368)
Visual Speech Enhancement [PDF]
Interspeech 2018, 2018 When video is shot in noisy environment, the voice of a speaker seen in the video can be enhanced using the visible mouth movements, reducing background noise.
Gabbay, Aviv +2 more
core +2 more sources
Cold Diffusion for Speech Enhancement [PDF]
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022 Diffusion models have recently shown promising results for difficult enhancement tasks such as the conditional and unconditional restoration of natural images and audio signals.
Hao Yen +3 more
semanticscholar +3 more sources
A Hybrid Speech Enhancement Algorithm for Voice Assistance Application [PDF]
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 +2 more
doaj +2 more sources
Investigating self-supervised learning for speech enhancement and separation [PDF]
arXiv, 2022 Speech enhancement and separation are two fundamental tasks for robust speech processing. Speech enhancement suppresses background noise while speech separation extracts target speech from interfering speakers. Despite a great number of supervised learning-based enhancement and separation methods having been proposed and achieving good performance ...
Zili Huang +4 more
arxiv +3 more sources
SEGAN: Speech Enhancement Generative Adversarial Network [PDF]
Interspeech, 2017 Current speech enhancement techniques operate on the spectral domain and/or exploit some higher-level feature. The majority of them tackle a limited number of noise conditions and rely on first-order statistics.
Santiago Pascual +2 more
semanticscholar +3 more sources
Fusing Bone-conduction and Air-conduction Sensors for Complex-Domain Speech Enhancement. [PDF]
IEEE/ACM Trans Audio Speech Lang Process, 2022 Speech enhancement aims to improve the listening quality and intelligibility of noisy speech in adverse environments. It proves to be challenging to perform speech enhancement in very low signal-to-noise ratio (SNR) conditions.
Wang H, Zhang X, Wang D.
europepmc +2 more sources
A Speech Enhancement Algorithm for Speech Reconstruction Based on Laser Speckle Images [PDF]
Sensors, 2022 In the optical system for reconstructing speech signals based on laser speckle images, the resonance between the sound source and nearby objects leads to frequency response problem, which seriously affects the accuracy of reconstructed speech.
Xueying Hao +4 more
doaj +2 more sources
Time-Domain Joint Training Strategies of Speech Enhancement and Intent Classification Neural Models [PDF]
Sensors, 2022 Robustness against background noise and reverberation is essential for many real-world speech-based applications. One way to achieve this robustness is to employ a speech enhancement front-end that, independently of the back-end, removes the ...
Mohamed Nabih Ali +2 more
doaj +2 more sources
Improving GANs for Speech Enhancement [PDF]
IEEE Signal Processing Letters, 2020 Generative adversarial networks (GAN) have recently been shown to be efficient for speech enhancement. However, most, if not all, existing speech enhancement GANs (SEGAN) make use of a single generator to perform one-stage enhancement mapping.
Huy P Phan +6 more
semanticscholar +6 more sources
Neural Cascade Architecture with Triple-domain Loss for Speech Enhancement. [PDF]
IEEE/ACM Trans Audio Speech Lang Process, 2022 This paper proposes a neural cascade architecture to address the monaural speech enhancement problem. The cascade architecture is composed of three modules which optimize in turn enhanced speech with respect to the magnitude spectrogram, the time-domain ...
Wang H, Wang D.
europepmc +2 more sources