Voice biometric authentication is increasingly gaining adoption in organisations with high-
volume identity verifications and for providing access to physical and other virtual spaces. In …

Complexity of environmental sounds impose numerous challenges for their classification.
The performance of Environmental Sound Classification (ESC) depends greatly on how …

Multimodal emotion recognition aims to recognize emotions for each utterance of multiple
modalities, which has received increasing attention for its application in human-machine …

La formación de alto nivel de los futuros músicos requiere una mejora sistemática del
enfoque educativo. En este sentido, el principal objetivo de esta investigación era …

In this paper, we propose a new Internet of things (IoT) solution, called the Urban Noise
Monitoring (UNM) system, which can classify real-time environmental audio sound using an …

Sound event detection is to infer the event by understanding the surrounding environmental
sounds. Due to the scarcity of rare sound events, it becomes challenging for the well-trained …

One of the main issues that face new guitar aspirants is that there is a lot of further
information, which proves a lot to take in for just a beginner as it causes much-disliked …

Audio signal processing can be integrated with music domain in-order to retrieve contents
within the music signal. Raga is often related to melodic framework in Indian classical music …

Automatic music transcription (AMT) aims to convert raw audio signals into symbolic music.
This is a highly challenging task in the fields of signal processing and artificial intelligence …

Deep learning frameworks are more suitable than conventional machine learning
frameworks for classifying emotions from speech signals. Two limitations of existing speech …