Speech/speaker Recognition
Semi-fragile digital speech watermarking for online speaker recognition
... digital speech watermarking, i.e., the per- formance of the speaker recognition systems decreased only slightly with semi-fragile digital speech watermark- ...i-vector speaker verifi- ...
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Synthesis of Speech & Speaker Recognition Using Data Driven Approach
... of Speech recognition, to find out the words spoken, and recognize the speaker, the ability to identify who is saying them, will become commonplace applications of speech processing ...the ...
5
A Posterior Union Model with Applications to Robust Speech and Speaker Recognition
... and speaker recognition systems need to be robust against unknown partial corruption of the acoustic features, where some of the feature components may be corrupted by noise, but knowledge about the ...
12
Speech Unit Category based Short Utterance Speaker Recognition
... though speech recognition plays an important role in text dependent speaker recognition, when the duration gets shorter than one second, exact phone recognition is not ...are ...
24
Speech And Speaker Recognition: A Review
... Security is the condition of being liberated from threat and hazard which facilitate to ensure that the verification gets to succeed. The demand for getting the identity and authority for the users is increased in the ...
7
Speaker recognition with hybrid features from a deep belief network
... phone recognition, Mohamed et al [1] suggest a more powerful alternative to Gaussian Mixture Models (GMMs) for relating Hidden Markov Models (HMM) states to feature ...of speech coefficients and achieve ...
12
Speaker Recognition using MFCC front end analysis and VQ Modeling Technique for Hindi words using MATLAB
... Features that are extracted are needed to be matched with the help of feature matching techniques. Most commonly feature matching techniques uses feature vector models includes the Hidden Markov Model (HMM), Dynamic Time ...
5
On the Soft Fusion of Probability Mass Functions for Multimodal Speech Processing
... Audio-Visual Speech Recognition As a Multiple Hypothesis Testing ...Audio-visual speech recognition (AVSR) is a technique that uses image processing capabilities like lip reading to aid ...
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A Purely End to End System for Multi speaker Speech Recognition
... multi- speaker recognition system could be susceptible to redundant recognition of the same ...input speech mix- ture into multiple label sequences without requir- ing any explicit ...
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Speaker Awareness for Speech Emotion Recognition
... of speech features extracted using a large-scale speaker recognition model, for emotion ...within speaker specific ...of speaker ad- aptation is of paramount importance and should be ...
8
Text dependent Speaker Recognition by Combination of LBG VQ and DTW for Persian Language
... automatic speaker recognition technology, with an emphasis on text-dependent speaker ...recognition. Speaker recognition has been studied actively for several ...fact, ...
5
Review of Automatic Speech Recognition For Recognition of Speech and Speaker
... ABSTRACT: Speech is fundamental mode of communication among the human ...called speech. Due to his different characteristics speech becomes important attribute in aural ...i.e. speaker then it ...
5
Review of Algorithms and Applications in Speech Recognition System
... the Speech Processing applications, the speech signal or the audio signal has to be properly ...the speech signal where only the necessary features will be ...like Speaker recognition ...
5
The research on Uighur speaker-dependent isolated word speech recognition
... of recognition based), the first realization system identify English words ,and then processing the Chinese language and Uighur language operations, the highest rate of identification ...
6
Personality in Speech: Theories of Psychology, Questionnaires, Speech Databases
... generated speech considered by any uttering automatic device is the measurement for its efficiency ...understandable speech but it is automated, standard and far from natural speech properties, so ...
5
Single-channel dereverberation by feature mapping using cascade neural networks for robust distant speaker identification and speech recognition
... We can observe the performance difference caused by the difference of AM used in the recognition. The ‘clean+multi-rt’ AM could perform much better than the ‘multi-rt’ AM. We can observe that the frame selection ...
31
Multi-speaker frequency warping vocal tract length normalization for speaker independent speech recognition
... and recognition process involves longer speech processing time as well as larger storage resources ...overall speech processing ...phoneme recognition, which focuses on recognizing phonemes ...
30
Speaker Independent Speech Recognition of Isolated Words in Room Environment
... whole speech recognition system must be trained with enough feature data to make it much capable of ...input speech commands by random speakers including both male and female through the ...
7
Speaker Identification Based Automation System Through Speech Recognition
... 559 This project aims to develop an automated system capable of controlling operation of various devices placed inside the home or office using voice command, so that respective user can handle, simply, such devices with ...
7
Asynchronous factorisation of speaker and background with feature transforms in speech recognition
... single speaker transform on the Music set; this can be explained by the fact that having defined a single en- vironment, the two transforms are effectively working as ...the speaker transforms alone, which ...
6