A review of physical and perceptual feature extraction techniques for speech, music and environmental sounds

F Alías, JC Socoró, X Sevillano - Applied Sciences, 2016 - mdpi.com
Endowing machines with sensing capabilities similar to those of humans is a prevalent
quest in engineering and computer science. In the pursuit of making computers sense their …

Trends in audio signal feature extraction methods

G Sharma, K Umapathy, S Krishnan - Applied Acoustics, 2020 - Elsevier
Audio signal processing algorithms generally involves analysis of signal, extracting its
properties, predicting its behaviour, recognizing if any pattern is present in the signal, and …

Content-based music information retrieval (cb-mir) and its applications toward the music industry: A review

YVS Murthy, SG Koolagudi - ACM Computing Surveys (CSUR), 2018 - dl.acm.org
A huge increase in the number of digital music tracks has created the necessity to develop
an automated tool to extract the useful information from these tracks. As this information has …

[PDF][PDF] A review on voice-based interface for human-robot interaction

AA Badr, AK Abdul-Hassan - Iraqi Journal for Electrical and Electronic …, 2020 - iasj.net
With the recent developments of technology and the advances in artificial intelligence and
machine learning techniques, it has become possible for the robot to understand and …

A novel weather prediction model using a hybrid mechanism based on MLP and VAE with fire-fly optimization algorithm

VA Vuyyuru, GA Rao, YVS Murthy - Evolutionary Intelligence, 2021 - Springer
The future weather data source will continue to grow rapidly, and new developments in
machine learning would allow government agencies and companies to use all this data …

Classification of vocal and non-vocal segments in audio clips using genetic algorithm based feature selection (GAFS)

YVS Murthy, SG Koolagudi - Expert Systems with Applications, 2018 - Elsevier
The technology of music information retrieval (MIR) is an emerging field that helps in tagging
each portion of an audio clip. A majority of the subtasks of MIR need an application that …

Content-based audio classification and retrieval using segmentation, feature extraction and neural network approach

NM Patil, MU Nemade - … and computational sciences: Proceedings of IC4S …, 2019 - Springer
The volume of audio data is increasing tremendously daily on public networks like Internet.
This increases the difficulty in accessing those audio data. Hence, there is a need of efficient …

Speaker recognition: an enhanced approach to identify singer voice using neural network

S Biswas, SS Solanki - International Journal of Speech Technology, 2021 - Springer
Communication with people is the most common phenomena of human. Mostly they can
recognize the voice of their known one. Even the same thing is seen while recognizing a …

Music genre classification with convolutional neural networks and comparison with f, q, and mel spectrogram-based images

A Dhall, YV Srinivasa Murthy, SG Koolagudi - Advances in Speech and …, 2021 - Springer
Content-based music information retrieval (CB-MIR) is the growing research field that
includes many subtasks. Technology advancements could be the main reason for this. The …

Application of intelligent voice technology in VR intelligent teaching system of tourism management

Z Wei - International Journal of Speech Technology, 2021 - Springer
With the rapid development of information technology, intelligent voice technology is
becoming more and more mature and widely used in language courses, but tourism …