A new set of features for text-independent speaker identification
2006pp. paper 1880–Wed1A1O.6
Citations Over TimeTop 10% of 2006 papers
Abstract
The success of a speaker identification system depends largely on the set of features used to characterize speaker-specific information. In this paper, we discuss a small set of low-level acoustic parameters that capture information about the speaker’s source, vocal tract size and vocal tract shape. We demonstrate that the set of eight acoustic parameters has comparable performance to the standard sets of 26 or 39 MFCCs for the speaker identification task. Gaussian Mixture Models were used for constructing speaker models.
Related Papers
- → Hierarchical speaker identification using speaker clustering(2004)24 cited
- → A Novel Speaker Clustering Algorithm in Speaker Recognition System(2006)2 cited
- → A speaker identification system with verification method based on speaker relative threshold and HMM(2003)4 cited
- → Speaker Recognition and Diarization(2010)3 cited
- → VoxBlink2: A 100K+ Speaker Recognition Corpus and the Open-Set Speaker-Identification Benchmark(2024)