voice activity detection algorithms
An efficient voice activity detection algorithm by combining statistical model and energy detection
... the voice activity exactly, but they are not efficient in ...energy detection algorithm and the statistical models ...energy detection sub-algorithm and the Gaussian mixture model (GMM)-based ...
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Efficient voice activity detection algorithm using long-term spectral flatness measure
... VAD algorithms based on a particular feature or specific set of features are still far from efficient especially when they are operating in adverse acoustic ...
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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 ...VAD algorithms deteriorate ...
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A Novel Approach for Voice Activity Detection Using Noise Energy from Spectrum
... in voice activity detection has been demonstrated as being a high performing and robust ...improved algorithms, both in results as well as in reducing computational overhead, I have gone ...
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PERFORMANCE OF VOICE ACTIVITY DETECTION METHOD BASED ON ZERO CROSSING RATE AND ENERGY LEVEL IN ARABIC LANGUAGE
... endpoint detection algorithms showed the robustness of this ...energy detection algorithm through two steps: detection of the parameters characterizing the speech by using the algorithm ...
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Particle Filter with Integrated Voice Activity Detection for Acoustic Source Tracking
... In noisy and reverberant environments, the problem of acoustic source localisation and tracking (ASLT) using an array of mi- crophones presents a number of challenging difficulties. One of the main issues when considering ...
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A novel voice activity detection based on phoneme recognition using statistical model
... However, the algorithms based on the speech features with heuristic rules have difficulty in coping with all noises observed in the real world. Recently, the statisti- cal model based VAD approach is considered an ...
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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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Voice activity detection based on conjugate subspace matching pursuit and likelihood ratio test
... Those algorithms assume that the distributions of the noise and the noisy speech spectra are specified in terms of some certain parametric models such as complex Gaussian [7], com- plex Laplacian [8], generalized ...
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Features for voice activity detection: a comparative analysis
... The QUT-NOISE database [5] is a noise database that was developed under the objective to evaluate VAD approaches. It consists of five categories of noise scenar- ios: cafe, car, home, reverberant surroundings, and ...
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Voice Recognition Based Intelligent Wheelchair
... The microcontroller unit is the core of the intelligent wheelchair. It interfaces the voice recognition unit, joystick, depth detection system and the motor driver circuit. The main function of this unit is ...
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THE IMPLEMETATION OF SEMANTIC MAP TO ENHANCE THE STUDENTS WRITING ABILITY OF PASSIVE VOICE TO THE ELEVENTH GRADE STUDENTS OF SENIOR HIGH SCHOOL 9 PALEMBANG
... Passive Voice using semantic maps to the eleventh grade natural science students of State Senior High School 9 Palembang improved the students’ comprehension in learning Passive ...
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The Association of Gender, Age, and Coping with Internalizing Symptoms in Youth with Sickle Cell Disease
... A smart-app named Perioperative Services Mobile Learning System (POS- MLS)—developed using the latest Android API (Level 19)—was utilized to test the classifiers. Basically, the purpose of the app is to improve ...
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Contact Detection Algorithms
... through is counted in such a way that if summation result for one ray is even then the point is outside the object. In contrast, if the summation result is un-even then the point is inside the object and there is ...
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Speech Endpoint Detection Based on High Order Statistics
... universal detection algorithm yet working reliably in all possible noises and ...endpoint detection arise not only from the different types of noise present in the recording, but also from the vocabulary ...
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Automatic bird species recognition based on birds vocalization
... the voice activity detection system, segments of bird vocalizations were detected from which a likelihood rate, with which the given code value corresponds to the given model, was calculated using ...
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Direction Detecting System of Indoor Smartphone Users Using BLE in IoT
... The user’s activity signals are captured using LabVIEW, then applied to classification algorithms used to evaluate the performance of accuracy detection of directions by the smartphone u[r] ...
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Study of Algorithms for Separation of Singing Voice from Music
... singing voice separation by using new Non-negative matrix factorization (NMF) ...singing voice and music. Algorithm performed very well when voice to music ratio is low or ...high voice-to ...
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Sparsity-Aware Estimation of CDMA System Parameters
... developed algorithms are computationally e ffi cient and remain applicable even when the user activity levels are unknown, a scenario of potential interest in wireless cognitive radio ...
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A Review on ECG System Design
... Matlab software is another platform for effective acquisition and processing of ECG [6]. It is universally accepted data processing platform. It supports many advanced programming languages likes Java, C, VB etc., and ...
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