Mel frequency cepstral coefficients

Results 21 to 30 of about 3,495 (182)

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

Mel Frequency Cepstral Coefficients For Music Modeling. [PDF]

, 2000
[TODO] Add abstract here.
openaire +1 more source

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
doaj +1 more source

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
doaj +1 more source

The Intelligent Diagnosis of a Hydraulic Plunger Pump Based on the MIGLCC-DLSTM Method Using Sound Signals

Machines
To 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
doaj +1 more source

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
openaire +1 more source

Spoken Digit Recognition using the k-Nearest-Neighbor method and Mel Frequency Cepstral Coefficients [PDF]

Informatică economică
This study investigates the utilization of the k-nearest-neighbor algorithm within the framework of machine learning for speech recognition applications. The AudioMNIST dataset is used for performing the evaluations in which the model predicts the spoken
Sorin MURARU, Catalina Lucia COCIANU
doaj +1 more source

SENTIMENT ANALYSIS ON SPEECH SIGNALS: LEVERAGING MFCC-LSTM TECHNIQUE FOR ENHANCED EMOTIONAL UNDERSTANDING [PDF]

Proceedings on Engineering Sciences
The 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 , Neha Kishore , Pardeep Sangwan +2 more
doaj +1 more source

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
wiley +1 more source

Speech Emotion Recognition Using Cepstral Features Extracted With Gammatone Filter Banks Realized Based on ERB and Mel Frequency Scales

IEEE Access
Speech emotion recognition (SER) involves identifying a speaker’s emotional state from their speech utterance. Prior research has explored various cepstral features for developing SER systems. Among these, Mel-frequency cepstral coefficients (MFCC)
Nagarajan Sugan +2 more
doaj +1 more source

mfcc
mel-frequency cepstral coefficients
machine learning

speaker recognition
speech recognition