Results 11 to 20 of about 1,679,078 (335)
Source-Aware Neural Speech Coding for Noisy Speech Compression [PDF]
IEEE International Conference on Acoustics, Speech, and Signal Processing, 2020 This paper introduces a novel neural network-based speech coding system that can process noisy speech effectively. The proposed source-aware neural audio coding (SANAC) system harmonizes a deep autoencoder-based source separation model and a neural ...
Haici Yang +3 more
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Adaptive Delta Modulation Simulation and Analysis Using MatLab
Paradigma, 2023 The system for converting analog signals to digital signals has become a necessity, considering that the tools currently used are digital computers. One of the analog-to-digital conversion systems is the delta modulation system. In delta modulation, only
Djadjat Sudaradjat, Andi Rosano
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Speech Compression using Wavelet Transforms [PDF]
Al-Rafidain Journal of Computer Sciences and Mathematics, 2007 In this research wavelet technique was used for speech compression. It was translated and scaled to groups which represent mother wavelet function. Applying the adopted algorithm with MATLAB software using Daubechies filters family (with multi-scale for ...
Khalil Al-Saif
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On the importance of power compression and phase estimation in monaural speech dereverberation.
JASA Express Letters, 2021 Previous studies have shown the importance of introducing power compression on both feature and target when only the magnitude is considered in the dereverberation task.
Andong Li +3 more
semanticscholar +1 more source
Towards Model Compression for Deep Learning Based Speech Enhancement
IEEE/ACM Transactions on Audio Speech and Language Processing, 2021 The use of deep neural networks (DNNs) has dramatically elevated the performance of speech enhancement over the last decade. However, to achieve strong enhancement performance typically requires a large DNN, which is both memory and computation consuming,
Ke Tan, Deliang Wang
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High-Fidelity Audio Compression with Improved RVQGAN [PDF]
Neural Information Processing Systems, 2023 Language models have been successfully used to model natural signals, such as images, speech, and music. A key component of these models is a high quality neural compression model that can compress high-dimensional natural signals into lower dimensional ...
Rithesh Kumar +4 more
semanticscholar +1 more source
Effects of Adaptation Rate and Noise Suppression on the Intelligibility of Compressed-Envelope Based Speech. [PDF]
PLoS ONE, 2015 Temporal envelope is the primary acoustic cue used in most cochlear implant (CI) speech processors to elicit speech perception for patients fitted with CI devices.
Ying-Hui Lai, Yu Tsao, Fei Chen
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Modulation masking release reduction as a function of time-compressed speech
Revista CEFAC, 2020 Purpose: to investigate the magnitude of the modulation masking release in sentence recognition as a function of compression level and modulation rate.
Fernando Augusto Pacífico +5 more
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Speech Files Compression Based on Signal Feature [PDF]
Al-Rafidain Journal of Computer Sciences and Mathematics, 2007 In this research a new algorithm was suggested for compressing speech files added a new style for storing signals, The suggested idea of compression begins with recording the speech via the microphone, then starting the proposed processing steps as ...
Khalil Alsaif, Saja Mohammed
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A Model Compression Method With Matrix Product Operators for Speech Enhancement [PDF]
IEEE/ACM Transactions on Audio Speech and Language Processing, 2020 The deep neural network (DNN) based speech enhancement approaches have achieved promising performance. However, the number of parameters involved in these methods is usually enormous for the real applications of speech enhancement on the device with the ...
Xingwei Sun +4 more
semanticscholar +1 more source