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 +5 more sources
Investigating the Impact of Speech Compression on the Acoustics of Dysarthric Speech. [PDF]
Interspeech, 2022 Acoustic analysis plays an important role in the assessment of dysarthria. Out of a public health necessity, telepractice has become increasingly adopted as the modality in which clinical care is given.
Tran K +5 more
europepmc +2 more sources
Practical Cognitive Speech Compression [PDF]
2022 IEEE Data Science and Learning Workshop (DSLW), 2022 This paper presents a new neural speech compression method that is practical in the sense that it operates at low bitrate, introduces a low latency, is compatible in computational complexity with current mobile devices, and provides a subjective quality ...
Reza Lotfidereshgi, P. Gournay
semanticscholar +3 more sources
The Effects of Speech Compression Algorithms on the Intelligibility of Two Individuals With Dysarthric Speech. [PDF]
Am J Speech Lang Pathol, 2019 Purpose Telemedicine, used to offset disparities in access to speech-language therapy, relies on technology that utilizes compression algorithms to transmit signals efficiently.
Utianski RL +4 more
europepmc +2 more sources
Effects of Slow- and Fast-Acting Compression on Hearing-Impaired Listeners’ Consonant–Vowel Identification in Interrupted Noise [PDF]
Trends in Hearing, 2018 There is conflicting evidence about the relative benefit of slow- and fast-acting compression for speech intelligibility. It has been hypothesized that fast-acting compression improves audibility at low signal-to-noise ratios (SNRs) but may distort the ...
Borys Kowalewski +6 more
doaj +3 more sources
Application of 1-D discrete wavelet transform based compressed sensing matrices for speech compression. [PDF]
Springerplus, 2016 BackgroundCompressed sensing is a novel signal compression technique in which signal is compressed while sensing. The compressed signal is recovered with the only few numbers of observations compared to conventional Shannon–Nyquist sampling, and thus ...
Parkale YV, Nalbalwar SL.
europepmc +2 more sources
Speech Compression Using Multecirculerletet Transform [PDF]
Al-Khawarizmi Engineering Journal, 2012 Compressing the speech reduces the data storage requirements, leading to reducing the time of transmitting the digitized speech over long-haul links like internet.
Sulaiman Murtadha, Ali. K. Ibrahim
doaj +3 more sources
Attention capture by own name decreases with speech compression [PDF]
Cognitive ResearchAuditory stimuli that are relevant to a listener have the potential to capture focal attention even when unattended, the listener’s own name being a particularly effective stimulus.
Simon Y. W. Li +4 more
doaj +2 more sources
On the Compression of Recurrent Neural Networks with an Application to LVCSR acoustic modeling for Embedded Speech Recognition [PDF]
IEEE International Conference on Acoustics, Speech, and Signal Processing, 2016 We study the problem of compressing recurrent neural networks (RNNs). In particular, we focus on the compression of RNN acoustic models, which are motivated by the goal of building compact and accurate speech recognition systems which can be run ...
Alsharif, Ouais +3 more
core +2 more sources
CTC-based Compression for Direct Speech Translation [PDF]
Conference of the European Chapter of the Association for Computational Linguistics, 2021 Previous studies demonstrated that a dynamic phone-informed compression of the input audio is beneficial for speech translation (ST). However, they required a dedicated model for phone recognition and did not test this solution for direct ST, in which a ...
Marco Gaido +3 more
semanticscholar +1 more source