Voice activity detection (VAD)
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
... simplified voice activity detection model can be seen in Figure ...non-active voice contents (it is said that the frame is ...active voice contents (the frame is active). The ...
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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
... periodicity detection 5. Proposed voice activity detection algorithm In this section, the proposed VAD algorithm based on DWT and TEO is ...
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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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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
... 5. Conclusion The paper has proposed the use of a convolutional neural net- work (CNN) for voice activity detection in the low-frequency ultrasound region using reflected chirps from the mouth re- ...
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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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Voice activity detection based on conjugate subspace matching pursuit and likelihood ratio test
... Voice activity detection (VAD) refers to the problem of distinguishing active speech from non-speech regions in an given audio stream, and it has become an indispensa- ble component for many ...
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Accelerometer-based real-time voice activity detection using neck surface vibration measurement
... Introduction Voice Activity Detection Speech analysis has a variety of applications ranging from software for automatic speech recognition in industry to diagnosing voice and speech disorders ...
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Voice Activity Detection Based on Auto-Correlation Function Using Wavelet Transform and Teager Energy Operator
... Voice Activity Detection Based on Auto-Correlation Function Using 99 Wavelet Transform and Teager Energy Operator 4. Discussion Compared with Chen’s wavelet-based VAD, our experimental results shows ...
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Voice Activity Detection using Temporal Characteristics of Autocorrelation Lag and Maximum Spectral Amplitude in Sub bands
... [email protected], [email protected] Abstract A robust voice activity detection (VAD) is a prerequisite for many speech based ap- plications like speech recognition. We in- vestigated two ...
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