Results 21 to 30 of about 114,742 (297)
DeepVoCoder: A CNN model for compression and coding of narrow band speech [PDF]
, 2019 This paper proposes a convolutional neural network (CNN)-based encoder model to compress and code speech signal directly from raw input speech. Although the model can synthesize wideband speech by implicit bandwidth extension, narrowband is preferred for
Ilk, Hakki Gokhan +3 more
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Speech Signal Compression Algorithm Based on the JPEG Technique
Journal of Intelligent Systems, 2018 The main objective of this paper is to explore parameters usually adopted by the JPEG method and use them in speech signal compression. Speech compression is the technique of encoding the speech signal in some way that allows the same speech parameters ...
Hassan Tariq A. +2 more
doaj +1 more source
Efficient methods to improve power bandwidth measurement of ETSI low bandwidth digital mobile radio
Measurement: Sensors, 2023 Radio Spectrum is finite entity and its demand is increasing day by day. One of such crowded spectrums is the spectrum allocated (licensed) to Professional Mobile Users (PMU).
Vivekanand Krishnaji Joshi, T. Kavitha
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Signal-to-Noise-Ratio-Aware Dynamic Range Compression in Hearing Aids
Trends in Hearing, 2018 Fast-acting dynamic range compression is a level-dependent amplification scheme which aims to restore audibility for hearing-impaired listeners. However, when being applied to noisy speech at positive signal-to-noise ratios (SNRs), the gain function ...
Tobias May +2 more
doaj +1 more source
Traditional Psychoacoustic Model and Daubechies Wavelets for Enhanced Speech Coder Performance
International Journal of Technology, 2015 Speech compression techniques based on traditional psychoacoustic model have been proposed by many researchers. We have suggested Discrete Wavelet Transform (DWT) supported by the same psychoacoustic model for speech compression.
Sheetal D. Gunjal, Rajeshree D. Raut
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A Comparison of Front-Ends for Bitstream-Based ASR over IP [PDF]
, 2006 Automatic speech recognition (ASR) is called to play a relevant role in the provision of spoken interfaces for IP-based applications. However, as a consequence of the transit of the speech signal over these particular networks, ASR systems need to face ...
Díaz de María, Fernando +3 more
core +4 more sources
IEEE AccessSpeech coding is important for effective storage and transmission of audio signals. However, current Interactive Multimedia Association Adaptive Differential Pulse Code Modulation (IMA-ADPCM) speech coding techniques that use a fixed predictor have an ...
Gebremichael Kibret Sheferaw +4 more
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Speech file compression by eliminating unvoiced/silence components
Sustainable Engineering and Innovation, 2021 The main objective of this study is to have the noise component of a speech signal eliminated and compressed by storing the locations and durations of silence regions.
Arda Sahin, Mehmet Zubeyir Unlu
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FEBS Letters, EarlyView.The Ile181Asn variant of human UDP‐xylose synthase (hUXS1), associated with a short‐stature genetic syndrome, has previously been reported as inactive. Our findings demonstrate that Ile181Asn‐hUXS1 retains catalytic activity similar to the wild‐type but exhibits reduced stability, a looser oligomeric state, and an increased tendency to precipitate ...
Tuo Li +2 more
wiley +1 more source
The modulation transfer function for speech intelligibility. [PDF]
PLoS Computational Biology, 2009 We systematically determined which spectrotemporal modulations in speech are necessary for comprehension by human listeners. Speech comprehension has been shown to be robust to spectral and temporal degradations, but the specific relevance of particular ...
Taffeta M Elliott +1 more
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