Voice activity detection
Visual Voice Activity Detection in the Wild
... (audio)-visual voice activity detection, speech recognition or speaker identification, in the wild ...face detection and tracking [11], [12], in three full-length ...
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Features for voice activity detection: a comparative analysis
... applications, voice activity detection (VAD) plays an essential role for separating an audio stream into time intervals that contain speech activity and time intervals where speech is ...
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A visual voice activity detection method with adaboosting
... visual voice activity detection (VAD), which classifies whether a short time period, or frame, is silent or not, by exploiting the synchrony of coherent audio and visual ...
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Voice Activity Detection in the Tiger Platform. Hampus Thorell
... 4.3 Comfort noise When there is no speech being detected at the transmitter’s side of a communication link the transmission is halted. At least this is the scenario that is wanted when using voice activity ...
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On the use of voice activity detection in speech emotion recognition
... Voice activity detection (VAD) is one prominent method of pre-processing speech data. A VAD functions to detect presence or absence of human voice in a signal [9]. Researches on practical ...
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An efficient voice activity detection algorithm by combining statistical model and energy detection
... Abstract 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 ...
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Robust Voice Activity Detection Based on Discrete Wavelet Transform
... determining voice activity in presence of noise, especially in a dynamically varying background ...proposed voice activity detection algorithm is based on structure of three-layer ...
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Voice Activity Detection. Fundamentals and Speech Recognition System Robustness
... This book on Robust Speech Recognition and Understanding brings together many different aspects of the current research on automatic speech recognition and language understanding. The first four chapters address the task ...
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Enhancement of speech dynamics for voice activity detection using DNN
... Voice activity detection (VAD) is an important preprocessing step for various speech applications to identify speech and non-speech periods in input ...
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Cascading appearance-based features for visual voice activity detection
... The detection of voice activity is a challenging problem, espe- cially when the level of acoustic noise is ...visual voice activity detection (VAD), and analyse each stage of the ...
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Innovative Method for Unsupervised Voice Activity Detection and Classification of Audio Segments
... noise-robust voice activity detection (VAD) system can be widely used for emerging speech technologies in the fields of audio forensics, wireless communication, and speech ...
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New Advances in Voice Activity Detection using HOS and Optimization Strategies
... This book on Robust Speech Recognition and Understanding brings together many different aspects of the current research on automatic speech recognition and language understanding. The first four chapters address the task ...
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Voice activity detection algorithm based on long-term pitch information
... Voice activity detection (VAD) is an essential module in almost every audio signal processing application, includ- ing coding, enhancement, and ...
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Complete-linkage clustering for voice activity detection in audio and visual speech
... proposed voice activity detection (VAD) approach we use two previously trained Gaussian mixture models (GMM) (de- tailed in Section 4), one for speech and another for non-speech, to compute two ...
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A New Algorithm for Voice Activity Detection Based on Wavelet Packets (RESEARCH NOTE)
... termed voice activity detection ...the voice within the signal by comparing the subband energy of components between detail and approximation ...
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Low Frequency Ultrasonic Voice Activity Detection using Convolutional Neural Networks
... state detection uses reflected audio chirps from the face in the region of the mouth to de- termine lip state, whether open, closed or partially ...of voice activity detection, this recently ...
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An Integrated Framework for Multi-Channel Multi-Source Localization and Voice Activity Detection
... This paper is organized as follows: The general concepts of SRP localization approaches are introduced in 2.2. We then provide theoretical as well as empirical evidence that the SRP output power for the silent frames ...
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A Novel Approach for Voice Activity Detection Using Noise Energy from Spectrum
... There are however some concerns about the Ying algorithm. The first concerns the startup time of the algorithm, which is greater than 0.5s due primarily to the unsupervised model training which, in the default setting, ...
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A novel voice activity detection based on phoneme recognition using statistical model
... novel voice activity detection (VAD) approach based on phoneme recognition using Gaussian Mixture Model based Hidden Markov Model (HMM/GMM) is ...speech/non-speech detection accuracy over a ...
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Efficient voice activity detection algorithm using long-term spectral flatness measure
... robust voice activity detection (VAD) algorithm utilizing long-term spectral flatness measure (LSFM) which is capable of working at 10 dB and lower signal-to-noise ...speech detection ...
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