Search Results - MelSpectrogram~

A Novel Melspectrogram Snippet Representation Learning Framework for Severity Detection of Chronic Obstructive Pulmonary Diseases by Roy, Arka, Satija, Udit

“…A chronic obstructive pulmonary disease (COPD) is a major public health concern across the world. Since it is an incurable disease, early detection and…”
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Quad-Net: Melspectrogram Vocoder with Convolutional Layers Restricted by the Quadrature Mirror Filter for Perfect Reconstruction by Song, Nam-Seok, Chang, Joon-Hyuk

“…Recently, neural vocoders have applied signal processing methods to synthesize speech to reduce computational complexity. However, most methods lack the…”
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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

“… This study aims to evaluate and compare the performance of the spectrogram, scalogram, melspectrogram and gammatonegram representations, and provide comparative information to users regarding…”
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Melspectrogram Based Music Genre Classification System Using Vision Transformer by Bansil, Paghdal, Kushwah, Sapna, Kishor, Avadh, Singh, Pramod Kumar, Kumar, Ajay

“…In recent years, the popularity of music recommendation systems has surged, driven by the growth of diverse music content and the variety of digital music…”
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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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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

“… We used Melspectrograms-based pre-processing to extract key features such as formants and harmonics…”
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A Symphony of Sentiments using Log-Melspectrogram Techniques for Emotional Classification by Jain, Eshika, Singh Gill, Kanwarpartap, Kumar, Mukesh, Rawat, Ruchira

“…This research paper investigates the topic of audio emotion categorization via a novel approach involving log-Mel spectrogram with augmentation. Though it is…”
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Harmonizing Emotions: A Novel Approach to Audio Emotion Classification using Log-Melspectrogram with Augmentation by Agarwal, Muskan, Gill, Kanwarpartap Singh, Thapliyal, Nitin, Rawat, Ramesh Singh

“…This study article explores the field of audio emotion categorization, using a unique method that involves log-Mel spectrogram with augmentation. The research…”
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Emotional Resonance Unleashed by exploring Novel Audio Classification Techniques with Log- Melspectrogram Augmentation by Agarwal, Muskan, Upadhyay, Deepak, Gill, Kanwarpartap Singh, Devliyal, Swati

“…This research work examines the domain of audio emotion categorization, employing a unique approach that incorporates log-Mel spectrogram with augmentation…”
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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

“… The combination of pre-processing steps MFCC, Melspectrogram, and Chroma CENS with CNN improvise the performance of the proposed system…”
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Audio Emotion Mapping using Enhanced Techniques with Augmented Log-Melspectrograms by Jain, Eshika, Gill, Kanwarpartap Singh, Malhotra, Sonal, Devliyal, Swati

“…Using a novel approach based on log-Mel spectrogram with augmentation, this research piece delves into the realm of audio emotion classification. Although it…”
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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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Deep Learning-Driven Phonopneumographic Analysis For Pulmonary Disease Recognition Using Dft And Melspectrograms by J, Haritha, Chandana, Gonuguntla, G, Deekshitha, R, Pramila

“… With advancements in deep learning, novel approaches using Digital Fourier Transform (DFT) and MelSpectrograms have emerged for automated and accurate disease recognition…”
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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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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.

“… We propose an adaptive Melspectrogram end-to-end neural network (AMNet) for a better characterisation and classification of heart sound in the work…”
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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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