A simple but efficient real-time voice activity detection algorithm
Voice Activity Detection (VAD) is a very important front end processing in all Speech and
Audio processing applications. The performance of most if not all speech/audio processing …
Audio processing applications. The performance of most if not all speech/audio processing …
[PDF][PDF] Boosted deep neural networks and multi-resolution cochleagram features for voice activity detection
Voice activity detection (VAD) is an important frontend of many speech processing systems.
In this paper, we describe a new VAD algorithm based on boosted deep neural networks …
In this paper, we describe a new VAD algorithm based on boosted deep neural networks …
Long-term spectro-temporal and static harmonic features for voice activity detection
T Fukuda, O Ichikawa… - IEEE Journal of Selected …, 2010 - ieeexplore.ieee.org
Accurate voice activity detection (VAD) is important for robust automatic speech recognition
(ASR) systems. This paper proposes a statistical-model-based noise-robust VAD algorithm …
(ASR) systems. This paper proposes a statistical-model-based noise-robust VAD algorithm …
Noise robust voice activity detection based on periodic to aperiodic component ratio
This paper proposes a noise robust voice activity detection (VAD) technique called PARADE
(PAR based Activity DEtection) that employs the periodic component to aperiodic …
(PAR based Activity DEtection) that employs the periodic component to aperiodic …
DEEMD-SPP: a novel framework for emotion recognition based on EEG signals
J Chen, H Li, L Ma, F Soong - Frontiers in Psychiatry, 2022 - frontiersin.org
Electroencephalography (EEG) is one of the most widely-used biosignal capturing
technology for investigating brain activities, cognitive diseases, and affective disorders. To …
technology for investigating brain activities, cognitive diseases, and affective disorders. To …
Small-vocabulary speech recognition using surface electromyography
We present results of electromyographic (EMG) speech recognition on a small vocabulary of
15 English words. EMG speech recognition holds promise for mitigating the effects of high …
15 English words. EMG speech recognition holds promise for mitigating the effects of high …
An iterative kurtosis-based technique for the detection of nonstationary bioacoustic signals
A novel technique for the detection of nonstationary bioacoustic signals, such as explosive
lung and bowel sounds, in clinical auscultative recordings is presented. The technique uses …
lung and bowel sounds, in clinical auscultative recordings is presented. The technique uses …
Dereverberation and denoising using multichannel linear prediction
M Delcroix, T Hikichi, M Miyoshi - IEEE Transactions on Audio …, 2007 - ieeexplore.ieee.org
Reverberation in a room severely degrades the characteristics and auditory quality of
speech captured by distant microphones, thus posing a severe problem for many speech …
speech captured by distant microphones, thus posing a severe problem for many speech …
CENSREC-1-C: An evaluation framework for voice activity detection under noisy environments
Voice activity detection (VAD) plays an important role in speech processing including
speech recognition, speech enhancement, and speech coding under noisy environments …
speech recognition, speech enhancement, and speech coding under noisy environments …
An efficient voice activity detection algorithm by combining statistical model and energy detection
In this article, we present a new voice activity detection (VAD) algorithm that is based on
statistical models and empirical rule-based energy detection algorithm. Specifically, it needs …
statistical models and empirical rule-based energy detection algorithm. Specifically, it needs …