Výsledky vyhledávání - log-Melspectrogram*

Audio Emotion Mapping using Enhanced Techniques with Augmented Log-Melspectrograms

Autoři: Eshika Jain Kanwarpartap Singh Gill Sonal Malhotra a další

Zdroj: 2024 4th Asian Conference on Innovation in Technology (ASIANCON). :1-4

A Symphony of Sentiments using Log-Melspectrogram Techniques for Emotional Classification

Autoři: Eshika Jain Kanwarpartap Singh Gill Mukesh Kumar a další

Zdroj: 2024 7th International Conference on Circuit Power and Computing Technologies (ICCPCT). :825-829

Emotional Resonance Unleashed by exploring Novel Audio Classification Techniques with Log- Melspectrogram Augmentation

Autoři: Muskan Agarwal Deepak Upadhyay Kanwarpartap Singh Gill a další

Zdroj: 2024 OPJU International Technology Conference (OTCON) on Smart Computing for Innovation and Advancement in Industry 4.0. :1-5

Harmonizing Emotions: A Novel Approach to Audio Emotion Classification using Log-Melspectrogram with Augmentation

Autoři: Muskan Agarwal Kanwarpartap Singh Gill Nitin Thapliyal a další

Zdroj: 2024 International Conference on Communication, Computing and Internet of Things (IC3IoT). :1-4

Violin Artist Identification by Analyzing Raga-vistaram Audio

Autoři: Ramlal, Nandakishor

Témata: Artist identification, Music information retrieval, Deep Learning, Convolutional Neural Network, Convolutional Recurrent Neural Network, Embeddings, log-Melspectrogram, Artistidentifiering, återhämtning av musikinformation, Inbäddningar, log-Melspektrogram, Computer and Information Sciences, Data- och informationsvetenskap

Popis souboru: application/pdf

Relation: TRITA-EECS-EX ; 2023:39

Dostupnost: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-325528

A Robust and Efficient Workflow for Heart Valve Disease Detection from PCG Signals: Integrating WCNN, MFCC Optimization, and Signal Quality Evaluation.

Autoři: Lai, Shin-Chi Chang, Yen-Ching Hung, Ying-Hsiu a další

Zdroj: Sensors (14248220); Nov2025, Vol. 25 Issue 21, p6562, 39p

Témata: HEART valve diseases, CONVOLUTIONAL neural networks, FEATURE extraction, MATHEMATICAL optimization, HEART sounds, REAL-time computing, SIGNAL processing

Anomaly detection of aerodynamic noise from wind turbine blades based on the CNN–LSTM–AS–UNet model.

Autoři: Li, Hao Xi, Yibo Chen, Hao a další

Zdroj: Journal of Civil Structural Health Monitoring; Oct2025, Vol. 15 Issue 7, p3063-3078, 16p

Combining generative adversarial networks for emotion prediction in college students: An application to interactive musical interpretation.

Autoři: Song, Xi

Zdroj: Molecular & Cellular Biomechanics; 2025, Vol. 22 Issue 4, p1-18, 18p

Témata: GENERATIVE adversarial networks, MUSICAL interpretation, ATTENTION, AFFECTIVE forecasting (Psychology), SENTIMENT analysis, COLLEGE students, CONVOLUTIONAL neural networks

Authentication of intended speech as part of an enrollment process

Multitask Transformer for Cross-Corpus Speech Emotion Recognition.

Autoři: Ahn, Chung-Soo Rana, Rajib Busso, Carlos a další

Zdroj: IEEE Transactions on Affective Computing; Jul-Sep2025, Vol. 16 Issue 3, p1581-1591, 11p

Health Monitoring of Industrial machines using Scene-Aware Threshold Selection

Autoři: Singh, Arshdeep Arvind, Raju Rajan, Padmanabhan

Témata: Computer Science - Sound, Computer Science - Artificial Intelligence, Computer Science - Machine Learning, Electrical Engineering and Systems Science - Audio and Speech Processing, Electrical Engineering and Systems Science - Signal Processing, text

URL: http://arxiv.org/abs/2111.10897

Real-time active-learning method for audio-based anomalous event identification and rare events classification for audio events detection.

Autoři: Iqbal, Farkhund Abbasi, Ahmed Almadhor, Ahmad a další

Zdroj: Frontiers in Computer Science; 2025, p1-14, 14p

A Residual Multi-Scale Convolutional Neural Network With Transformers for Speech Emotion Recognition.

Autoři: Yan, Tianhao Meng, Hao Parada-Cabaleiro, Emilia a další

Zdroj: IEEE Transactions on Affective Computing; Apr-Jun2025, Vol. 16 Issue 2, p915-932, 18p

Speech based detection of Alzheimer’s disease: a survey of AI techniques, datasets and challenges.

Autoři: Ding, Kewen Chetty, Madhu Noori Hoshyar, Azadeh a další

Zdroj: Artificial Intelligence Review; Dec2024, Vol. 57 Issue 12, p1-43, 43p

GCE: An Audio-Visual Dataset for Group Cohesion and Emotion Analysis.

Autoři: Lim, Eunchae Ho, Ngoc-Huynh Pant, Sudarshan a další

Zdroj: Applied Sciences (2076-3417); Aug2024, Vol. 14 Issue 15, p6742, 21p

Témata: AFFECTIVE forecasting (Psychology), SOCIAL cohesion, PSYCHOLOGY students, GRADUATE students, EMOTIONS, IMAGE fusion

A dense layer model for cognitive emotion recognition with feature representation.

Autoři: Yuvaraj, S. Vijay Franklin, J.

Zdroj: Journal of Intelligent & Fuzzy Systems; 2023, Vol. 45 Issue 5, p8989-9005, 17p

Témata: EMOTION recognition, CONVOLUTIONAL neural networks, AFFECTIVE forecasting (Psychology), DEEP learning, FEATURE extraction, PROSODIC analysis (Linguistics)

Using Speaker-Specific Emotion Representations in Wav2vec 2.0-Based Modules for Speech Emotion Recognition.

Autoři: Somin Park Mpabulungi Mark Bogyung Park a další

Zdroj: Computers, Materials & Continua; 2023, Vol. 77 Issue 1, p1009-1030, 22p

Témata: EMOTION recognition, SPEECH perception, EMOTIONS, AUTOMATIC speech recognition, MOTION capture (Human mechanics), VOICE culture, PERFORMANCE standards

Automatic Speech Disfluency Detection Using wav2vec2.0 for Different Languages with Variable Lengths.

Autoři: Liu, Jiajun Wumaier, Aishan Wei, Dongping a další

Zdroj: Applied Sciences (2076-3417); Jul2023, Vol. 13 Issue 13, p7579, 25p

Témata: SPEECH, CONVOLUTIONAL neural networks, AUTOMATIC speech recognition, TRANSFORMER models, INTERPERSONAL communication, FEATURE extraction

Enabling Real-Time On-Chip Audio Super Resolution for Bone-Conduction Microphones.

Autoři: Li, Yuang Wang, Yuntao Liu, Xin a další

Zdroj: Sensors (14248220); Jan2023, Vol. 23 Issue 1, p35, 19p

Témata: MICROPHONES, SPEECH processing systems, AUTOMATIC speech recognition, SOUND systems, SPEECH

Multimodal interaction enhanced representation learning for video emotion recognition.

Autoři: Xiaohan Xia Yong Zhao Dongmei Jiang

Zdroj: Frontiers in Neuroscience; 12/19/2022, Vol. 16, p01-15, 15p, 4 Diagrams, 5 Charts, 2 Graphs