[PDF] Top 20 Studies on automatic speaker recognition
Has 10000 "Studies on automatic speaker recognition" found on our website. Below are the top 20 most common "Studies on automatic speaker recognition".
Studies on automatic speaker recognition
... Ther efore if the mism atch betw een the real distr ibuti on of a spea ker's data and the estim ated distr ibuti on with GM mod el form causes reco gniti on error s, thos e error s occu [r] ... See full document
146
Systematic Review On Speech Recognition Tools And Techniques Needed For Speech Application Development
... Speech Recognition which is based on limited Tamil words but also exhibited low recognition ...accuracy. Automatic speech recognition for Tunisian dialect, an under-resourced language ... See full document
11
Automatic Speaker Recognition System in Adverse Conditions — Implication of Noise and Reverberation on System Performance
... Abstract—Speaker recognition has been developed and evolved over the past few decades into a supposedly mature ...of recognition becomes crucial, meanwhile limited speech samples and adverse acoustic ... See full document
6
Assessment of Severe Apnoea through Voice Analysis, Automatic Speech, and Speaker Recognition Techniques
... GMM-based automatic speaker recognition techniques [15] to try to observe possible peculiarities in apnoea patients’ ...allow automatic (and rapid) diagnosis of the ...on automatic ... See full document
11
Comparative Analysis of Automatic Speaker Recognition using Kekre’s Fast Codebook Generation Algorithm in Time and Transform Domain
... Speaker identification task can be further classified into text- dependent or text-independent task [4], [5]. In the former case, the utterance presented to the system is known beforehand. In the latter case, no ... See full document
5
Acoustic Feature Extraction and Optimized Neural Network based Classification for Speaker Recognition
... Automatic recognition related to the speakers are the process of identifying speech signal with the corresponding ...biometric recognition system ...types: speaker verification and ... See full document
10
Text Independent Automatic Speaker Recognition System Using Mel Frequency Cepstrum Coefficient and Gaussian Mixture Models
... an automatic speaker recognition system, a speech recognition engine, or any application related to analysis, to the recognition and more generally to the study of the human ...450 ... See full document
6
Speaker Recognition System and Algorithms
... for Automatic Speaker Recognition Systems has been ...done. Speaker recognition is that the method of automatically recognizing who is speaking on the premise of individual info ... See full document
5
DWT and MFCCs based Feature Extraction Methods for Isolated Word Recognition
... pattern recognition technique, Neural Networks are widely used in the last two decades in the hope of achieving human-like performance in automatic speech/speaker ...new speaker (testing data) ... See full document
6
SPEAKER RECOGNITION IN REVERBERANT CONDITIONS: A REVIEW
... The speaker recognition refers to determining the person talking from a set of known voices or ...many studies which focus on the speaker identification in clean and noisy ...of speaker ... See full document
10
Speech And Speaker Recognition: A Review
... speech recognition systems where signal modeling converts the speech signals into a set of parameters and pattern matching discovers the parameter sets that are closely matched with the parameter sets from the ... See full document
7
SPEAKER RECOGNITION USING GMM
... hearing. Studies have shown that human hearing does not follow the linear scale but rather the Mel-spectrum scale which is a linear spacing below 1000 Hz and logarithmic scaling above 1000 ... See full document
9
Towards an Intelligent Acoustic Front End for Automatic Speech Recognition: Built-in Speaker Normalization
... of speaker nor- malization procedures using maximum likelihood estimates of the best warp for each ...each speaker, especially at the time of recognition, is not ...on-the-fly speaker ... See full document
13
Speaker Recognition by Applying DWT Method with Different Speaker
... on speaker recognition field. Speaker recognition, which involves two applications: speaker identification and speaker verification, is the process of automatically recognizing ... See full document
6
Robust speaker recognition in presence of non trivial environmental noise (toward greater biometric security)
... Research studies in the fields of speaker recognition have been conducted for more than five decades, and this field is still an active area of speech signal processing (Furui, 2005, Nengheng, ... See full document
248
Normalization and Automatic Recognition of Assamese Vowels
... Using the CSL-4500 (KEYPENTEX) speech processing software, the beginnings and end points of the target vowels are placed in spectrographic displays. Formant tracks for the two formants, F1 and F2 are analyzed by using ... See full document
5
Automatic Speaker Recognition System For Forensic Applications
... beyond speaker variability that can make the speaker recognition system is more questionable is the acoustical noise and variations in recording environment for example is the speaker uses ... See full document
24
Review of Automatic Speech Recognition For Recognition of Speech and Speaker
... SWITCHBOARD is a large multi-speaker corpus of telephone conversations. Although designed to support several types of speech and language research, its variety of speakers, speech data, telephone handsets, and ... See full document
5
Text dependent Speaker Recognition by Combination of LBG VQ and DTW for Persian Language
... of automatic speaker recognition technology, with an emphasis on text-dependent speaker ...recognition. Speaker recognition has been studied actively for several ...fact, ... See full document
5
A Review of the Fingerprint, Speaker Recognition, Face Recognition and Iris Recognition Based Biometric Identification Technologies
... to automatic fingerprint recognition systems - the process of acquiring the biometric data involves touching some input device with the pattern, this makes the actual pattern that is being sensed distorted ... See full document
7
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