Periodicity pitch perception part III: sensibility and Pachinko volatility [PDF]
, 2022 Neuromorphic computer models are used to explain sensory perceptions. Auditory models generate cochleagrams, which resemble the spike distributions in the auditory nerve.
Feldhoff, Frank +3 more
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Modulation spectral features for speech emotion recognition using deep neural networks [PDF]
, 2022 International audienceThis work explores the use of constant-Q transform based modulation spectral features (CQT-MSF) for speech emotion recognition (SER).
Saha, Goutam +2 more
core +4 more sources
On Improvement of Speech Intelligibility and Quality: A Survey of Unsupervised Single Channel Speech Enhancement Algorithms. [PDF]
, 2020 Many forms of human communication exist; for instance, text and nonverbal based. Speech is, however, the most powerful and dexterous form for the humans.
Irfan Khattak, Muhammad +2 more
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Improving the Listening Experience for SSB-Modulated HF Transmissions Using Neural Networks [PDF]
, 2023 Bis heute spielen analoge Hochfrequenz-Funkübertragungen in einigen Bereichen unserer Gesellschaft eine zentrale Rolle, zum Beispiel in der Schiff- und Luftfahrtkommunikation.
Heitkämper, Jens
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A Binaural Neuromorphic Auditory Sensor for FPGA: A Spike Signal Processing Approach [PDF]
, 2017 This paper presents a new architecture, design flow, and field-programmable gate array (FPGA) implementation analysis of a neuromorphic binaural auditory sensor, designed completely in the spike domain.
Cerezuela Escudero, Elena +6 more
core
Cortical And Subcortical Mechanisms For Sound Processing [PDF]
, 2019 The auditory cortex is essential for encoding complex and behaviorally relevant sounds. Many questions remain concerning whether and how distinct cortical neuronal subtypes shape and encode both simple and complex sound properties.
Blackwell, Jennifer
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Evaluation of Neuromorphic Spike Encoding of Sound Using Information Theory
, 2023 The problem of spike encoding of sound consists in transforming a sound waveform into spikes. It is of interest in many domains, including the development of audio-based spiking neural networks, where it is the first and most crucial stage of processing.
Ferdaoussi, Ahmad El +2 more
core
Signal separation of musical instruments: simulation-based methods for musical signal decomposition and transcription [PDF]
, 2001 This thesis presents techniques for the modelling of musical signals, with particular regard to monophonic and polyphonic pitch estimation. Musical signals are modelled as a set of notes, each comprising of a set of harmonically-related sinusoids.
Walmsley, Paul Jospeh
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SIGNAL MODELS, ANALYSIS ALGORITHMS, AND SOFTWARE TOOLS FOR MODAL AUDIO RESYNTHESIS [PDF]
This thesis delves into topics related to modal sound synthesis, a technique that generates sounds by simulating the physical interactions within resonating objects.
TIRABOSCHI, MARCO
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Simplified inverse filter tracked affective acoustic signals classification incorporating deep convolutional neural networks [PDF]
, 2020 Facial expressions, verbal, behavioral, such as limb movements, and physiological features are vital ways for affective human interactions. Researchers have given machines the ability to recognize affective communication through the above modalities in ...
Crespo, Rubén González +6 more
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