A proposed decision rule for speaker recognition based on fuzzy c-means clustering
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Summary
An alternative decision rule based on fuzzy c-means clustering is proposed in this paper that can be used in both speaker identification and speaker verification and is more effective than the minimum overall average distortion rule.
- Type
- article
- Published
- 1998-11-30
- Cited by
- 12
- References
- 15
- OpenAlex
- https://openalex.org/W2629646
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:224467
Keywords
Codebook, Pattern recognition (psychology), Fuzzy rule, Cluster analysis, Speaker recognition
References
- Fuzzy models for pattern recognition
- Prototype classification and feature selection with fuzzy sets
- Geometrical fuzzy clustering algorithms
- Hidden Markov Models for Speech Recognition
- Comparison of text-independent speaker recognition methods using VQ-distortion and discrete/continuous HMMs
- Pattern classification and scene analysis
- Pattern Recognition with Fuzzy Objective Function Algorithms
- Entropy-constrained vector quantization
- An Algorithm for Vector Quantizer Design
- Fuzzy sets and decisionmaking approaches in vowel and speaker recognition
- Hidden Markov Models for Speech Recognition
- An Overview of Speaker Recognition Technology
Cited by
- A Novel Bi-Group Particle Swarm Optimizer for Speaker Identification
- Variance-Based Gaussian Kernel Fuzzy Vector Quantization for Emotion Recognition with Short Speech
- A discriminative method for speaker identification with limited data
- A Novel Fuzzy Kernel Vector Quantization for Speaker Recognition with Short Utterances
- Speech act modeling in a spoken dialog system using a fuzzy fragment-class Markov model
- Speaker Recognition Based on APSO-K-means Clustering Algorithm
- A KERNEL METHOD FOR SPEAKER RECOGNITION WITH LITTLE DATA
- Optimizing Spectral Feature Based Text-Independent Speaker Recognition
- Speaker verification with short utterances: a review of challenges, trends and opportunities
- Towards a Speaker Voice Recognition Method Based on KPFVQ
- Fuzzy Normalisation Methods for Pattern Verification
- Fuzzy Nearest Prototype Classifier Applied to Speaker Identification Dat
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