With the soaring adoption of in-ear wearables, the research community has started
investigating suitable in-ear heart rate (HR) detection systems. HR is a key physiological …

Denoising is considered as one of the important tasks in signal processing. ECG signal
analysis is very important for detecting heart diseases. The amplitude and frequency of ECG …

Denoising sound is essential for improving signal quality in various applications such as
speech processing, sound event classification, and machine failure detection systems. This …

In real time speech de-noising, adaptive filtering technique with variable length filters are
used which is used to track the noise characteristics and through those characteristics the …

With the soaring adoption of in-ear wearables, the research community has started
investigating suitable in-ear heart rate detection systems. Heart rate is a key physiological …

The denoising of audio signal and quality enhancement has a substantial contribution in
speaker identification, audio transmission, hearing aids, microphones, mobile phones, etc …

This paper considers a traditional task of additive white Gaussian noise removal from
speech signals. An opportunity to use denoising based on discrete cosine transform is …

As there is aggrandizement in the sector of artificial intelligence relating to the speech
domain, it becomes a necessity to have efficient noise removal models with greater …

With the proliferation of smart home devices like Amazon Alexa and Google Home,
automatic emotion detection from user commands and interactions with smart assistants, in …

In this research article, a multi-layered convolutional neural network (MLCNN) based auto-
CODEC for audio signal enhancement which is utilizing the Mel-frequency cepstral …