Results 31 to 40 of about 3,813 (182)
EMOTION RECOGNITION THROUGH DEEP LEARNING IN VARIOUS MODES [PDF]
ICTACT Journal on Soft ComputingThe man-machine interface encompasses a crucial area—emotion recognition through facial expressions. Despite its significance, emotion recognition faces challenges such as facial accessories, non- uniform illuminations, pose variations, audio speeches ...
Bharat Gupta, Manas Gupta
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Acta Acustica, 2023 Quantifying auditory perception of blending between sound sources is a relevant topic in music perception, but remains poorly explored due to its complex and multidimensional nature.
Thilakan Jithin +3 more
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Use of spectral subband moments in MFCC computation [PDF]
ISSPA '99. Proceedings of the Fifth International Symposium on Signal Processing and its Applications (IEEE Cat. No.99EX359), 2003 Mel frequency cepstral coefficients (MFCCs) are currently the most popular form of parameterization of the speech signal in speech recognition systems. In this paper, we look at a way to improve the extraction of these features using information about the spectral characteristics of the signal to modify filter-bank shapes.
Eigil Gjelsvik, Kuldip K. Paliwal
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Polarization Engineering in Vinylene‐Linked COFs Toward Efficient Neuromorphic Computing
Advanced Science, EarlyView.A vinyl‐linked covalent organic framework (COF‐DIBPY) was synthesized on a conductive substrate for memristor applications. Redox reactions and bromide migration enable low‐voltage (0.5V) conductance switching with high analog on/off ratio (15.7). The device was further integrated into a speech emotion recognition system for acoustic simulation and ...
Hao Wang +5 more
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Longitudinal Investigation of Work Stressors Using Human Voice Features
Acta Informatica Pragensia, 2023 Stress is a part of everyone's life. Any event or thought that makes you upset, furious or anxious can set it off. It will affect the human health mentally and physically and produce a negative impact on nervous and immune systems in our body.
Indhumathi Natarajan +5 more
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Towards interpretable speech biomarkers: exploring MFCCs
Scientific Reports, 2023 Abstract While speech biomarkers of disease have attracted increased interest in recent years, a challenge is that features derived from signal processing or machine learning approaches may lack clinical interpretability. As an example, Mel frequency cepstral coefficients (MFCCs) have been identified in several studies as a useful ...
Brian Tracey +9 more
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Ion‐Gating Reservoir Computing for Preprocessing‐Free Speech Recognition from Throat Vibrations
Advanced Electronic Materials, EarlyView.This work presents a throat‐mounted mechanoelectric sensor integrated with an ion‐gel/graphene reservoir device for on‐device speech recognition. The system converts raw biomechanical vibrations into rich nonlinear current dynamics, enabling efficient classification through a simple linear readout. The approach highlights a compact and tunable physical‐
Daiki Nishioka +5 more
wiley +1 more source
Signal & Image Processing : An International Journal, 2013 Mel Frequency Ceptral Coefficient is a very common and efficient technique for signal processing. This paper presents a new purpose of working with MFCC by using it for Hand gesture recognition. The objective of using MFCC for hand gesture recognition is to explore the utility of the MFCC for image processing.
Shikha Gupta +3 more
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Soft Active Electromyography Interface for Machine Learning‐Enabled Silent Speech Recognition
Advanced Intelligent Systems, EarlyView.A soft, hand‐worn electromyography interface enables intent‐driven silent speech recognition without continuous facial attachment. The device integrates liquid‐metal interconnects, a transparent flexible circuit, and elastomer encapsulation with a fingertip electrode that contacts perioral muscles only on demand.
Yuta Kurotaki +8 more
wiley +1 more source
Prediction method of operation state of mine belt conveyor
Gong-kuang zidonghua, 2022 The sensor monitoring data combined with neural network prediction model is the mainstream method of mine belt conveyor operation state prediction.
LI Jingzhao, SUN Jiechen, YE Tongzhou
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