Results 31 to 40 of about 6,514 (211)
Mel Frequency Cepstral Coefficients For Music Modeling. [PDF]
, 2000 [TODO] Add abstract here.
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SYSTEM OF RECOGNITION THE STEGANOGRAPHIC-TRANSFORMED VOICE COMMANDS OF THE UAV CONTROL
Радіоелектронні і комп'ютерні системи, 2018 It is created the system of recognition the steganographic-transformed voice commands of unmanned aerial vehicle control based on a cepstral analysis.
Александр Юрьевич Лавриненко +2 more
doaj +1 more source
Speech reconstruction from mel frequency cepstral coefficients and pitch frequency [PDF]
2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100), 2002 This paper presents a novel low complexity, frequency domain algorithm for reconstruction of speech from the mel-frequency cepstral coefficients (MFCC), commonly used by speech recognition systems, and the pitch frequency values. The reconstruction technique is based on the sinusoidal speech representation.
Dan Chazan +3 more
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Sistem Pengenalan Suara Dengan Metode Mel Frequency Cepstral Coefficients Dan Gaussian Mixture Model
Komputika, 2022 ABSTRAK – Teknologi biometrik sedang menjadi tren teknologi dalam berbagai bidang kehidupan. Teknologi biometrik memanfaatkan bagian tubuh manusia sebagai alat ukur sistem yang memiliki keunikan disetiap individu.
Ababil Azies Sasilo +2 more
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Mel-frequency cepstral coefficient-based bandwidth extension of narrowband speech [PDF]
Interspeech 2008, 2008 Abstract We present a novel MFCC-based scheme for the BandwidthExtension (BWE) of narrowband speech. BWE is based onthe assumption that narrowband speech (0.3–3.4 kHz) cor-relates closely with the highband signal (3.4–7 kHz), en-abling estimation of the highband frequency content given thenarrow band.
Amr H. Nour-Eldin, Peter Kabal
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Speech Biomarkers From Smartphone Calls Track Progression in REM Sleep Behavior Disorder and Parkinson's Disease. [PDF]
Ann NeurolObjective This 24‐month longitudinal study involving isolated rapid eye movement sleep behavior disorder (iRBD), early‐stage Parkinson's disease (PD), and matched healthy control subjects aimed to assess whether acoustic speech features from real‐world smartphone calls provide passive progressive biomarkers in synucleinopathies.
Šimek M +11 more
europepmc +2 more sources
Acoustic Classification of Singing Insects Based on MFCC/LFCC Fusion
Applied Sciences, 2019 This work introduces a new approach for automatic identification of crickets, katydids and cicadas analyzing their acoustic signals. We propose the building of a tool to identify this biodiversity.
Juan J. Noda +3 more
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, 2016 Objective: The objective of this review article is to give a complete review of various techniques that are used for speech recognition purposes overtwo decades.Methods: VAD-Voice Activity Detection, SAD-Speech Activity Detection techniques are discussed
P Mahalakshmi
core +3 more sources
MachinesTo fully exploit the rich state and fault information embedded in the acoustic signals of a hydraulic plunger pump, this paper proposes an intelligent diagnostic method based on sound signal analysis.
Liqiang Ma, Anqi Jiang, Wanlu Jiang
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SENTIMENT ANALYSIS ON SPEECH SIGNALS: LEVERAGING MFCC-LSTM TECHNIQUE FOR ENHANCED EMOTIONAL UNDERSTANDING [PDF]
Proceedings on Engineering SciencesThe analysis of emotions expressed in spoken language holds a pivotal role in human communication, artificial intelligence, and human-computer interaction. While emotion recognition in text has seen considerable advancements, recognizing emotional states
Suman Lata +2 more
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