Search Results - "MelSpectrogram"

A hybrid noise robust model for multireplay attack detection in Automatic speaker verification systems by Dua, Mohit, Sadhu, Ambika, Jindal, Anisha, Mehta, Raman

“…Biometric Systems are automatic methods of verifying the identity of a person based on some characteristics such as fingerprint, face, speech etc. Speech…”
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Improvise approach for respiratory pathologies classification with multilayer convolutional neural networks by Borwankar, Saumya, Verma, Jai Prakash, Jain, Rachna, Nayyar, Anand

“…Every respiratory-related checkup includes audio samples collected from the individual, collected through different tools (sonograph, stethoscope). This audio…”
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Multi-View Spectrogram Transformer for Respiratory Sound Classification by He, Wentao, Yan, Yuchen, Ren, Jianfeng, Bai, Ruibin, Jiang, Xudong

“…Deep neural networks have been applied to audio spectrograms for respiratory sound classification. Existing models often treat the spectrogram as a synthetic…”
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A comparative study of the spectrogram, scalogram, melspectrogram and gammatonegram time-frequency representations for the classification of lung sounds using the ICBHI database based on CNNs by Neili, Zakaria, Sundaraj, Kenneth

“…In lung sound classification using deep learning, many studies have considered the use of short-time Fourier transform (STFT) as the most commonly used 2D…”
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Classification of Human and Synthesized Audio in Marathi Speech using Melspectrogram Analysis and Convolutional Neural Network (CNN) Model by Choughule, Atharv, Mullaji, Riyaz, Patil, Drushtant, Madachane, Sulochana

“…In recent years, the demand for effective audio classification systems has grown significantly, due to the rise of audio synthesizer tools and text-to-speech…”
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Optimizing Audio Recognition for Assistive Robotics with Feature Optimization, Machine Learning and Data Augmentation by Telembici, Lorena, Rusu, Corneliu

“…Audio recognition plays a crucial role in assistive robotics, enabling intelligent systems to interpret and respond to various sound inputs. This study…”
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BAT-CNN: BirdNet Assisted Training for CNN by S, Salini, K, Suresh

“…Studies on bird sound classification have become increasingly popular in recent years. Birds serve as valuable ecological indicators, and the threat to bird…”
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BirdClassifier: An Advanced Bird Classification Model Using Deep Neural Networks by Jadhav, Deepali, Patayeet, Saket, Salunkhe, Prachi, Pujari, Sameera, Sakharkar, Mrudul, Zanje, Siddhika

“…Automated bird species classification plays a crucial role in biodiversity conservation and ecological monitoring. This study proposes a hybrid deep learning…”
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Multimodal Forgery Detection in Videos Using a Tri-Network Model by Chandran, Padma Pooja, Sriram, Shruti, Babu, Chitra

“…The advent of social media has tremendously revolutionized information dissemination. However, it has also opened up fresh avenues for deception, notably…”
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AMNet: Introducing an Adaptive Mel-Spectrogram End-to-End Neural Network for Heart Sound Classification by Tan, Yang, Wang, Zhihua, Qian, Kun, Bao, Zhihao, Cao, Zheyu, Hu, Bin, Yamamoto, Yoshiharu, Schuller, Bjorn W.

“…The cardiovascular diseases (CVDs) cause tremendous deaths yearly. The Mel-spectrogram is widely used as a tool to analyse the heart sound, which facilitate a…”
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CNN and MKDE-Based Classification of Synthetic Speech Attribution by Choi, Jungyu, Im, Sungbin

“…Speech synthesis algorithms have been continuously developed for years. They are easily available to the general public and have excellent performance…”
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Voice-based Gender and Age Recognition System by Kone, Vinayak Sudhakar, Anagal, Atrey, Anegundi, Swaroop, Jadhav, Pranali, Kulkarni, Uday, M, Meena S

“…The ability to detect gender and age from voice is a valuable tool in a variety of applications, like voice-based biometric identification, natural language…”
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Deep learning based urban sound classification and ambulance siren detector using spectrogram by Pramanick, Dipro, Ansar, Haaris, Kumar, Hemant, Pranav, S, Tengshe, Richa, Fatimah, Binish

“…An efficient sound classification algorithm can benefit a multitude of applications involving home, wildlife, and residential surveillance, traffic regulation,…”
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Automatic Speech Recognition using the Melspectrogram-based method for English Phonemes by Soundarya, M, Karthikeyan, P R, Ganapathy, Kirupa, Thangarasu, Gunasekar

“…An automatic speech recognition (ASR) technique may be set up to forecast the pronunciation of textual identifiers (such as song names) based on assumptions…”
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Detection of Pulmonary Disorders with CNN model using Knowledge Distillation technique by Keerthana, R., Jayaprakash, S, Monisha, R, Guru, Raman.C

“…Chronic respiratory conditions are a major public health concern worldwide and pose a significant burden on individuals and healthcare systems. Early detection…”
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Music genre classification using multi-modal deep learning based fusion by Wadhwa, Laisha, Mukherjee, Prerana

“…Music genre classification is extensively used in almost all music streaming applications and websites. Most of them use it either to recommend playlists to…”
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Sound Classification using Deep Learning for Hard of Hearing and Deaf People by Adnan Habib, Md, Raiyan Arefeen, Zarif, Hussain, Arafat, Rownak Shahriyer, S.M., Islam, Tanzid, Rahman, Rafeed, Zavid Parvez, Mohammad

“…The proposed paper mainly focuses on developing an audio classification for people, who cannot hear properly, using convolutional neural network and recurrent…”
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Integer-Only Approximated MFCC for Ultra-Low Power Audio NN Processing on Multi-Core MCUs by Fariselli, Marco, Rusci, Manuele, Cambonie, Joel, Flamand, Eric

“…Given the recent advances in the design of efficient Deep Neural Networks (DNN) for tiny edge devices, the feature extraction frontend has become a computation…”
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Audio Classification for Feature-Based Majority Voting Optimization and Hyperparametric Tuning by Telembici, Lorena, Rusu, Corneliu

“…This paper presents an optimized audio recognition system that integrates feature-based and deep learning approaches, fine-tuned for high-accuracy…”
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Noise Pollution Classification Using Deep Learning by Sharma, Aditya, Sen, Madhusmita, Marak, Agimik Sengat B., Jaiswal, Dhiraj Prasad, Shah, Rahul

“…With the rise and rapid growth in industrialization as well as urbanization, noise pollution has become a significant yet often overlooked threat to our…”
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