Results 1 to 10 of about 3,875,284 (170)
Applied Sciences (Switzerland), 2023 Recently, neural network technology has shown remarkable progress in speech recognition, including word classification, emotion recognition, and identity recognition. This paper introduces three novel speaker recognition methods to improve accuracy.
Neng-Chung Wang +2 more
exaly +4 more sources
Mel-Frequency Cepstral Coefficients (MFCC) Feature for Pump Anomaly Detection in Noisy Environments
Rekayasa MesinThe continuity of a production process is supported by the availability of good assets. One of the efforts to support asset availability is through asset maintenance. One of the important assets in the industry is the pump. To detect anomalous conditions
Anindita Adikaputri Vinaya
exaly +4 more sources
HSD-Net: a dual-branch CNN-BiLSTM network with hybrid cepstral fusion for heart sound classification [PDF]
Frontiers in Medical TechnologyIntroductionCardiovascular diseases (CVDs) represent a major global health threat, making early detection crucial. While cardiac auscultation is cost-effective, its reliance on clinical expertise leads to significant variability in diagnostic accuracy ...
Caijian Hua +3 more
doaj +2 more sources
Analysis of COVID-19 Heavy Cough Sounds Using Bark Wavelet Cepstral Coefficients [PDF]
The Egyptian International Journal of Engineering Sciences and Technology, 2022 Coronavirus is known as COVID-19. It spreads in all over the world as pandemic. Until writing this paper, 164.5 million person worldwide is affected with this disease. Over 3.4 million people are died due to that disease.
Mohamed Azmy
doaj +1 more source
Enhancing Performance of End-to-End Gujarati Language ASR using combination of Integrated Feature Extraction and Improved Spell Corrector Algorithm [PDF]
ITM Web of Conferences, 2023 A number of intricate deep learning architectures for effective End-to-End (E2E) speech recognition systems have emerged due to recent advancements in algorithms and technical resources.
Bhagat Bhavesh, Dua Mohit
doaj +1 more source
International Journal of Interactive Multimedia and Artificial Intelligence, 2022 The speech signal within a sub-band varies at a fine level depending on the type, and level of dysarthria. The Mel-frequency filterbank used in the computation process of cepstral coefficients smoothed out this fine level information in the higher ...
Laxmi Priya Sahu +2 more
doaj +1 more source
Доклады Белорусского государственного университета информатики и радиоэлектроники, 2022 The paper describes an approach to design a system for analyzing and classification of a voice signal based on perturbation parameters and cepstral representation.
M. I. Vashkevich +2 more
doaj +1 more source
Combination of VMD Mapping MFCC and LSTM: A New Acoustic Fault Diagnosis Method of Diesel Engine
Sensors, 2022 Diesel engines have a wide range of functions in the industrial and military fields. An urgent problem to be solved is how to diagnose and identify their faults effectively and timely.
Hao Yan +5 more
doaj +1 more source
Regional language Speech Emotion Detection using Deep Neural Network [PDF]
ITM Web of Conferences, 2022 Speaking is the most basic and efficient mode of human contact. Emotions assist people in communicating and understanding others’ viewpoints by transmitting sentiments and providing feedback.The basic objective of speech emotion recognition is to enable ...
Padman Sweta, Magare Dhiraj
doaj +1 more source
Comparative Study of different types of RNN in Speech Classification [PDF]
The Egyptian Journal of Language Engineering, 2021 This paper introduces different models for pre-processing classification and their performance in Automatic Speech Recognition system. Different Recurrent Neural Network (RNN) architectures have been tested for this problem, such as RNN cells (RNN ...
Tarek Said, Amr Gody, Ayat Ragheb
doaj +1 more source