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…”
Get full text

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…”
Get more information

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…”
Get full text

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…”
Get full text

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…”
Get full text

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…”
Get full text

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…”
Get full text

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…”
Get full text

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…”
Get full text

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…”
Get full text

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…”
Get full text

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…”
Get full text

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…”
Get full text

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…”
Get full text

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…”
Get full text

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…”
Get full text

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…”
Get full text

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…”
Get full text

Exploring Human Non-Speech Sound Recognition: Insights from the Nonspeech7K Dataset by Vaibhav Simha, CH. V. N., Bhukya, Ramesh K.

“…Analysis of non-speech sounds produced by humans is an area of speech recognition that has largely not been paid much heed. The lack of proper exhaustive…”
Get full text

Accurate Anomia Severity Detection in Post-Stroke Aphasia Patients using MobileNetV2 by Saran, Mummidi Devi Siva Rama, Akshayaa, B K, Raghavendra, R Sai, Poornima, N, Jyothish Lal, G

“… In the proposed method, we train the melspectrograms taken from the audio recordings of the aphasia patients' using MobileNetV2…”
Get full text