Results 51 to 60 of about 254,173 (190)
Practical Hidden Voice Attacks against Speech and Speaker Recognition Systems
, 2019 Voice Processing Systems (VPSes), now widely deployed, have been made significantly more accurate through the application of recent advances in machine learning.
Abdullah, Hadi +5 more
core +1 more source
Transformer-based autoencoder with ID constraint for unsupervised anomalous sound detection
EURASIP Journal on Audio, Speech, and Music Processing, 2023 Unsupervised anomalous sound detection (ASD) aims to detect unknown anomalous sounds of devices when only normal sound data is available. The autoencoder (AE) and self-supervised learning based methods are two mainstream methods.
Jian Guan +6 more
doaj +1 more source
IEEE Access, 2023 In the contemporary era, blind source separation has emerged as a highly appealing and significant research topic within the field of signal processing. The imperative for the integration of blind source separation techniques within the context of beyond
Sam Ansari +4 more
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Kapre: On-GPU Audio Preprocessing Layers for a Quick Implementation of Deep Neural Network Models with Keras [PDF]
, 1947 We introduce Kapre, Keras layers for audio and music signal preprocessing. Music research using deep neural networks requires a heavy and tedious preprocessing stage, for which audio processing parameters are often ignored in parameter optimisation.
Choi, Keunwoo, Joo, Deokjin, Kim, Juho
core +5 more sources
Sparsity and cosparsity for audio declipping: a flexible non-convex approach [PDF]
, 2015 This work investigates the empirical performance of the sparse synthesis versus sparse analysis regularization for the ill-posed inverse problem of audio declipping.
A Adler +15 more
core +4 more sources
Augmenting Environmental Interaction in Audio Feedback Systems
Applied Sciences, 2016 Audio feedback is defined as a positive feedback of acoustic signals where an audio input and output form a loop, and may be utilized artistically. This article presents new context-based controls over audio feedback, leading to the generation of desired
Seunghun Kim +2 more
doaj +1 more source
IMPLEMENTING THE FADE-IN AUDIO EFFECT FOR REAL-TIME COMPUTING [PDF]
Applied Computer Science, 2019 Audio fading is performed in order to smoothly modify over time the level of an audio signal. In particular, the fade-in audio effect designates a grad-ually increase in the audio volume, starting from silence. In practice, audio fading is mostly carried
Lucian LUPŞA-TĂTARU
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Perceptual Evaluation of Speech Quality for Inexpensive Recording Equipment
Acoustics, 2021 This research studies the perceptual evaluation of speech signals using an inexpensive recording device. Different types of noise-reduction and electronic enhancement filters viz.
Anas Hashmi
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Preattentive processing of audio-visual emotional signals [PDF]
Acta Psychologica, 2011 Previous research has shown that redundant information in faces and voices leads to faster emotional categorization compared to incongruent emotional information even when attending to only one modality. The aim of the present study was to test whether these crossmodal effects are predominantly due to a response conflict rather than interference at ...
Föcker, J. +2 more
openaire +3 more sources
Modified BTC Algorithm for Audio Signal Coding
Advances in Electrical and Computer Engineering, 2016 This paper describes modification of a well-known image coding algorithm, named Block Truncation Coding (BTC) and its application in audio signal coding. BTC algorithm was originally designed for black and white image coding.
TOMIC, S., PERIC, Z., NIKOLIC, J.
doaj +1 more source