voice activity detector
A robust polynomial regression-based voice activity detector for speaker verification
... Robustness against background noise is a major research area for speech-related applications such as speech recognition and speaker recognition. One of the many solutions for this problem is to detect speech-dominant ...
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Context-Aware Hierarchical Information-Sensing in a 6μW 90nm CMOS Voice Activity Detector
... [3] A. Wang, et al., “Heterogeneous Multi-Processing Quad-Core CPU and Dual-GPU Design for Optimal Performance, Power and Thermal Tradeoffs in a 28nm Mobile Application Processor”, ISSCC Dig. Tech Papers, pp. 180-182, ...
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The Effect of a Voice Activity Detector on the Speech Enhancement Performance of the Binaural Multichannel Wiener Filter
... 2.3. Voice Activity Detector. Speech has strong amplitude modulations in the frequency region of 2–10 Hz, such that its envelope fluctuates over a wide dynamic range. Many types of noise (e.g., traffic ...
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Reliable likelihood ratios for statistical model-based voice activity detector with low false-alarm rate
... DWT: discriminative weight training; FAR: false-alarm rate; HMM: hidden Markov model; LRs: likelihood ratios; LRT: likelihood ratio test; MMSE-STSA: minimum mean square error short-time spectral amplitude; MO-LRT: ...
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Ultra-low-power voice-activity-detector through context- and resource-cost-aware feature selection in decision trees
... a voice-activity- detector (VAD) is a very efficient way to reduce unimportant audio data, and is often used in speech recognition, speech coding and speech ...
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Automotive three microphone voice activity detector and noise canceller
... • Part 2: A three-microphone Voice Activity Detection (VAD) algorithm. The VAD acts as a switch on a double-acting Griffiths-Jim adaptive beamformer. Van Compernolle (Van Compernolle, 1990) introduced this ...
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Design and analysis of voice activity detector based on higher order statistics
... Vertinant balso detektorių, speciali programinė įranga skaičiuoja kiek kartų testuojamas balso detektorius korektiškai sužymėjo kalbos buvimą signale, lyginant su tam tikrame faile teisingai sužymėta kalba. Ši procedūra ...
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A Semi-Continuous State-Transition Probability HMM-Based Voice Activity Detector
... 12 voice streams (about 96 seconds) from 4 di ff erent speakers; two males and two females with 3 streams/speaker from [13], with almost 58% speech ver- sus 42% ...The voice streams are corrupted by three ...
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Decision fusion of voice activity detectors
... Voice activity detector (VAD) is an important part of any speech processing system. It is used to locate human speech segments in a given sound signal. The basic output of a VAD is speech or ...
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A visual voice activity detection method with adaboosting
... OICE ACTIVITY DETECTION WITH A DABOOSTING The voice activity detector is a classifier that detects whether the speaker is silent or not in each ...
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Visual Voice Activity Detection in the Wild
... [21], where signal detection algorithms are applied on mouth region pixel intensities along with their variations, in order to discriminate between speech and non-speech frames. Concerning model-based V-VADs, features ...
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ACTIVITY ON IMPROVING PERFORMANCE OF TIME-OF-FLIGHT DETECTOR AT CDF
... Distribution of time interval between passage of the particle through the detector and getting signal from the first photon for the detector scheme using the scintillating bar (a) and th[r] ...
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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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Voice Activity Detection in Non-stationary Noise.
... Response of the ALED for the TIMIT speech database.... Zero Crossings Detector.[r] ...
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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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Voice Activity Detection Using Deep Neural Network
... j=1 e z J L , (8) where z i L is an ith element of the excitation vector z L . The value of the i-th output neuron a L i represents the probability P dnn (i | P) that the observation P(m, k) belongs to class i (speech or ...
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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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Voice Activity Detection Using Deep Neural Network
... As shown in the figure, in the beginning and ending of the speech sig- nal which is smeared by babble noise at SNR 0 dB, the DNN-based VAD using log power spectra misclassifies more non-[r] ...
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The Activation Detector Activity Calculations Using the Effective Source Method and Measurement
... 2 Research Centre Rez, Hlavní 130, 250 68 Husinec-Rez, Czech Republic Abstract. In the paper the application of effective source to the solution of activation detector activities in the reactor pressure vessel ...
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Sequential Tests for the Detection of Voice Activity and the Recognition of Cyber Exploits
... between voice activity and silence ...during voice activity ...noisy voice activity, while 0 represents the noisy voice activity process in the absence of cyber ...
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