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An Investigation into Better Frequency Warping for Time-Varying Speaker Recognition
Investigation Better Frequency Warping Time-Varying Speaker Recognition
2013/6/28
Performance degradation has been observed in presence of time intervals in practical speaker recognition systems. Researchers usually resort to enrollment data
augmentation, speaker model adaptation...
A K-Phoneme-Class based Multi-Model Method for Short Utterance Speaker Recognition
A K-Phoneme-Class Multi-Model Method Short Utterance Speaker Recognition
2013/6/28
For GMM-UBM based text-independent speaker recognition, the performance decreases significantly when the test speech is too short. Considering that the use of text information is he...
Syllable Category Based Short Utterance Speaker Recognition
Syllable Category Based Short Utterance Speaker Recognition
2013/6/28
In Short Utterance Speaker Recognition (SUSR), the role of complete speech units like syllables in carrying speaker information needs further
investigation. This paper presents ...
Overview of Front-end Features for Robust Speaker Recognition
Overview Front-end Features Robust Speaker Recognition
2013/6/28
This paper provides an overview of automatic speaker recognition technologies, with an emphasis on front-end features for robust speaker recognition. We categorize the front-end features into ...
Discrimination-Emphasized Mel-Frequency-Warping for Time-Varying Speaker Recognition
Discrimination-Emphasized Mel-Frequency-Warping Time-Varying Speaker Recognition
2013/6/28
Performance degradation with time varying is a generally acknowledged phenomenon in speaker recognition and it is widely assumed that speaker models should be updated from time to time to mainta...
Segmentation-based Method for Text-Dependent Speaker Recognition in Embedded Applications
Segmentation-based Method Text-Dependent Speaker Recognition Embedded Applications
2013/6/28
In this paper, a fast algorithm for text-dependent speaker recognition is proposed for real-time applications on embedded platforms. Considering the similarity and effectiveness, w...
Using Phoneme Recognition and Text-dependent Speaker Verification to Improve Speaker Segmentation for Chinese Speech
speaker segmentation phoneme recognition text-dependent short utterances
2013/6/28
Speaker segmentation is widely used in many tasks such as multi-speaker detection and speaker tracking. The segmentation performance depends on the performance of
speaker verification (SV) between t...
STATE-DEPENDENT MIXTURE TYING WITH VARIABLE CODEBOOK SIZE FOR ACCENTED SPEECH RECOGNITION
State-dependent tied mixture models variable codebook size
2013/6/27
In this paper, we propose a state-dependent tied mixture (SDTM) models with variable codebook size to improve the model robustness for accented p honetic variations while maintaining model discrimina...
State-Dependent Phoneme-Based Model Merging for Dialectal Chinese Speech Recognition
Speech recognition dialectal Ch inese speech recognition state-dependent phoneme-based model merging acoustic modeling acoustic model distance measure
2013/6/27
Aiming at building a dialectal Chinese speech rec ognizer from a standard Chinese speech recognizer with a small am ount of dialectal Chinese speech, a novel, simple but effective acoustic modeling me...
CCC Speaker Recognition Evaluation 2006: Overview, Methods, Data, Results and Perspective
Speaker recognition Evaluation
2013/6/28
For the special session on speaker recognition of the 5th International Symposium on Chinese Spoken Language Processing (ISCSLP 2006), the Chinese Corpus Consortium (CCC), the session organizer, deve...
The Voiceprint Recognition Activities over China-Standardization and Resources
Voiceprint Recognition Activities over China-Standardization Resources
2013/6/28
Voiceprint Recognition (or Speaker Recognition) is one of the most important branches in speech processing. Its applications have been becoming wider and wider whereas a lot of fundamental and practic...
Modeling High-level Information by Using Gaussian Mixture Correlation for GMM-UBM Based Speaker Recognition
Modeling High-level Information Gaussian Mixture Correlation GMM-UBM Based Speaker Recognition
2013/6/28
The Gaussian mixture model-universal background model (GMM-UBM) has been dominant in text-independent speaker recognition tasks. However the conventional GMM-UBM method assumes that each Gaussian mixt...
The Predictive Differential Amplitude Spectrum for Robust Speaker Recognition in Stationary Noises
Predictive Differential Amplitude Spectrum Robust Speaker Recognition Stationary Noises
2013/6/28
The performance of any speaker identification system degrades quite seriously when the acoustic conditions for testing mismatch those for training. In this paper, we propose a method to restore clean ...
USING PREDICTIVE DIFFERENTIAL POWER SPECTRUM AND SUBBAND MEL-SPECTRUM CENTROID FOR ROBUST SPEAKER RECOGNITION IN STATIONARY NOISES
Robust speaker recognition difference function subband
2013/6/28
In state-of-the-art speaker recognition systems, mel-sc aled freque nc y cepstr al coeff i ci ents (MFCCs) are perhaps the m ost w i dely used front-ends. One of the ma jor is sues with the M ...