Results 31 to 40 of about 1,679,078 (335)
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
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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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Level discrimination of speech sounds by hearing-impaired individuals with and without hearing amplification [PDF]
, 2011 Objectives: The current study was designed to see how hearing-impaired individuals judge level differences between speech sounds with and without hearing amplification.
Akeroyd, Michael A., Whitmer, William M.
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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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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
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Journal of the Acoustical Society of America, 2020 The use of a large number of amplitude-compression channels in hearing aids has potential advantages, such as the ability to compensate for variations in loudness recruitment across frequency and provide appropriate frequency-response shaping.
Marina Salorio-Corbetto +3 more
semanticscholar +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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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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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
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Sequence-level Knowledge Distillation for Model Compression of Attention-based Sequence-to-sequence Speech Recognition [PDF]
IEEE International Conference on Acoustics, Speech, and Signal Processing, 2018 We investigate the feasibility of sequence-level knowledge distillation of Sequence-to-Sequence (Seq2Seq) models for Large Vocabulary Continuous Speech Recognition (LVCSR).
Raden Mu'az Mun'im +2 more
semanticscholar +1 more source