Results 91 to 100 of about 7,229,432 (222)

full_cough_2_d_coswara_coughvid_features

open access: yes, 2022
Features extracted from Coswara and COUGHVID datasets: Mel-spectrogram, MFCC 13, 26 ...
Duong, Van Binh
core   +1 more source

Architectural Scalability and Attention Stabilization for Robust Impulsive Acoustic Spectrogram Classification Using Swin Transformer V2

open access: yesIEEE Access
Impulsive acoustic event classification based on spectrogram representations remains challenging due to the non-stationary and broadband characteristics of transient signals.
Pafan Doungpaisan, Peerapol Khunarsa
doaj   +1 more source

Gate‐Align‐SED: Semi‐Supervised Sound Event Detection via Adaptive Feature Gating and Cross‐Task Alignment in Situation Awareness

open access: yesAdvanced Intelligent Systems, Volume 8, Issue 6, June 2026.
Overview of the proposed Gate‐Align‐SED, including two stages of training: (1) Mean‐Teacher SSL Training; and (2) Enhancer Model Training. In complex real‐world environments such as disaster monitoring, effective sound event detection (SED) is often hindered by the presence of noise and limited labeled data.
Jieli Chen   +4 more
wiley   +1 more source

Indian Regional Music Dataset

open access: yes, 2021
This dataset is a collection of mel-spectrogram features extracted from Indian regional music containing the following languages: Hindi, Gujarati, Marathi, Konkani, Bengali, Oriya, Kashmiri, Assamese, Nepali, Konyak, Manipuri, Khasi & Jaintia, Tamil ...
Yeshwant Singh, Anupam Biswas
core   +1 more source

Interpreting CNN models for musical instrument recognition using multi-spectrogram heatmap analysis: a preliminary study

open access: yesFrontiers in Artificial Intelligence
IntroductionMusical instrument recognition is a critical component of music information retrieval (MIR), aimed at identifying and classifying instruments from audio recordings.
Rujia Chen   +2 more
doaj   +1 more source

Application of Music Data Visualization Technology in Music Appreciation Teaching

open access: yesEngineering Reports, Volume 8, Issue 6, June 2026.
The simulation environment is used to simulate real‐world music appreciation scenarios. DL is employed to preprocess music data, extract features, and identify rhythm information, which is then associated with visual design parameters to construct a parametric model.
Xiaowei Chen
wiley   +1 more source

Indian Semi-Classical Music Dataset

open access: yes, 2022
This dataset is a collection of mel-spectrogram features extracted from Indian semi-classical music containing the following 9 semi-classical styles: Bhajan, Chaiti, Dadra, Ghazal, Kajri, Natya Sangeet, Qawwali, Tappa, Thumri.
Yeshwant Singh   +2 more
core   +1 more source

Prediction of Electric Toothbrush Acoustic Comfort Using a Lightweight Dual‐Branch CNN With Psychoacoustic‐Spectral Cross‐Attention Fusion

open access: yesEngineering Reports, Volume 8, Issue 6, June 2026.
A lightweight dual‐branch neural network with cross‐attention fusion (LDCNN‐CF) integrates Mel‐spectrograms with psychoacoustic parameters to predict electric toothbrush acoustic comfort. The model achieves human‐like accuracy (MAE = 0.82, R2 = 0.84) with only 0.42 M parameters and identifies roughness as the dominant predictor of discomfort.
Yang Zhang
wiley   +1 more source

Diffusion-Based Mel-Spectrogram Enhancement for Personalized Speech Synthesis with Found Data

open access: yes, 2023
Creating synthetic voices with found data is challenging, as real-world recordings often contain various types of audio degradation. One way to address this problem is to pre-enhance the speech with an enhancement model and then use the enhanced data for
Liu, Wei, Lee, Tan, Tian, Yusheng
core   +1 more source

On Zero-Shot Multi-Speaker Text-to-Speech Using Deep Learning [PDF]

open access: yes, 2023
This thesis explores various aspects of zero-shot multi-speaker text-to-speech (TTS) synthesis using deep learning to create an effective system. A deep learning model for zero-shot multi-speaker TTS uses text and speaker identity as input to generate ...
Kandarkar, Pradnya
core  

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