Results 31 to 40 of about 254,173 (190)
Intelligibility and Listening Effort of Spanish Oesophageal Speech
Communication is a huge challenge for oesophageal speakers, be it for interactions with fellow humans or with digital voice assistants. We aim to quantify these communication challenges (both human−human and human−machine interactions) by ...
Sneha Raman +4 more
doaj +1 more source
A framework for invertible, real-time constant-Q transforms
Audio signal processing frequently requires time-frequency representations and in many applications, a non-linear spacing of frequency-bands is preferable.
Dörfler, Monika +3 more
core +1 more source
Adaptive DCTNet for Audio Signal Classification
In this paper, we investigate DCTNet for audio signal classification. Its output feature is related to Cohen's class of time-frequency distributions. We introduce the use of adaptive DCTNet (A-DCTNet) for audio signals feature extraction.
Gan, Zhe +4 more
core +1 more source
Special Issue on “Sound and Music Computing”
Sound and music computing is a young and highly multidisciplinary research field. [...]
Tapio Lokki +3 more
doaj +1 more source
Audio signals typically comprise several characteristics to be improved by signal processing and in practice, each of these characteristics has a unique relationship to the controllable system parameters.
Pingfei Jiang, Mark A. Atherton
doaj +1 more source
Sound Event Detection Using Spatial Features and Convolutional Recurrent Neural Network [PDF]
This paper proposes to use low-level spatial features extracted from multichannel audio for sound event detection. We extend the convolutional recurrent neural network to handle more than one type of these multichannel features by learning from each of ...
Adavanne, Sharath +2 more
core +2 more sources
Phase reconstruction of spectrograms based on a model of repeated audio events
Phase recovery of modified spectrograms is a major issue in audio signal processing applications, such as source separation. This paper introduces a novel technique for estimating the phases of components in complex mixtures within onset frames in the ...
Badeau, Roland +2 more
core +2 more sources
Robust high-capacity audio watermarking based on FFT amplitude modification [PDF]
This paper proposes a novel robust audio watermarking algorithm to embed data and extract it in a bit-exact manner based on changing the magnitudes of the FFT spectrum.
Fallahpour Reza, Mehdi +1 more
core +1 more source
'Style transfer' among images has recently emerged as a very active research topic, fuelled by the power of convolution neural networks (CNNs), and has become fast a very popular technology in social media.
Duong, Ngoc +3 more
core +1 more source
High capacity audio watermarking using FFT amplitude interpolation [PDF]
An audio watermarking technique in the frequency domain which takes advantage of interpolation is proposed. Interpolated FFT samples are used to generate imperceptible marks. The experimental results show that the suggested method has very high capacity (
Fallahpour Reza, Mehdi +1 more
core +2 more sources

