Results 21 to 30 of about 3,552,310 (382)
Evidence of a predictive coding hierarchy in the human brain listening to speech
Nature Human Behaviour, 2023 Current machine learning language algorithms make adjacent word-level predictions. In this work, Caucheteux et al. show that the human brain probably uses long-range and hierarchical predictions, taking into account up to eight possible words into the ...
Charlotte Caucheteux +2 more
semanticscholar +1 more source
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
semanticscholar +1 more source
Review of methods for coding of speech signals
EURASIP Journal on Audio, Speech, and Music Processing, 2023 Speech is the most common form of human communication, and many conversations use digital communication links. For efficient transmission, acoustic speech waveforms are usually converted to digital form, with reduced bit rates, while maintaining decoded ...
D. O'Shaughnessy
semanticscholar +1 more source
Low Bit-rate Speech Coding with VQ-VAE and a WaveNet Decoder [PDF]
IEEE International Conference on Acoustics, Speech, and Signal Processing, 2019 In order to efficiently transmit and store speech signals, speech codecs create a minimally redundant representation of the input signal which is then decoded at the receiver with the best possible perceptual quality.
Cristina Garbacea +6 more
semanticscholar +1 more source
Non-Autoregressive Predictive Coding for Learning Speech Representations from Local Dependencies [PDF]
Interspeech, 2020 Self-supervised speech representations have been shown to be effective in a variety of speech applications. However, existing representation learning methods generally rely on the autoregressive model and/or observed global dependencies while generating ...
Alexander H. Liu +2 more
semanticscholar +1 more source
Information, 2016 Speech compression is a key technology underlying digital cellular communications, VoIP, voicemail, and voice response systems. We trace the evolution of speech coding based on the linear prediction model, highlight the key milestones in speech coding ...
Jerry D. Gibson
doaj +1 more source
Improved Speech Representations with Multi-Target Autoregressive Predictive Coding [PDF]
Annual Meeting of the Association for Computational Linguistics, 2020 Training objectives based on predictive coding have recently been shown to be very effective at learning meaningful representations from unlabeled speech.
Yu-An Chung, James R. Glass
semanticscholar +1 more source
Mobile Audiovisual Terminal: System Design and Subjective Testing in DECT and UMTS networks [PDF]
, 2000 It is anticipated that there will shortly be a requirement for multimedia terminals that operate via mobile communications systems. This paper presents a functional specification for such a terminal operating at 32 kb/s in a digital European cordless
Cosmas, J, Gill, D, Pearmain, A
core +1 more source
End-To-End Optimized Speech Coding with Deep Neural Networks [PDF]
IEEE International Conference on Acoustics, Speech, and Signal Processing, 2017 Modern compression algorithms are often the result of laborious domain-specific research; industry standards such as MP3, JPEG, and AMR-WB took years to develop and were largely hand-designed.
Srihari Kankanahalli
semanticscholar +1 more source
, 1998 Speech is the predominant means of communication between human beings and since the invention of the telephone by Alexander Graham Bell in 1876, speech services have remained to be the core service in almost all telecommunication systems. Original analog methods of telephony had the disadvantage of speech signal getting corrupted by noise, cross-talk ...
Ravishankar +4 more
openaire +2 more sources