Text-independent Speaker Recognition by Trajectory Space Comparison

Speaker Verification Using Gaussian Com Trajectory Spa

In this paper, a novel approach is presented for text-independent speaker verification. A quantized acoustic trajectory is constructed for each utterance based on Universal Background Model (UBM). Analysis of the speaker entropy in the trajectory space demonstrates that the segmental trajectory catches some speaker-specific information, which can be used to discriminate different speakers. Gaus...

Speaker Identification using Power Distribution in Frequency Spectrum

This paper presents a brief overview of the Speaker recognition process, its trends and applications. Further a simple technique based on the Euclidean distance comparison is proposed. The technique is applied for both text-dependent as well as text independent identification. Text dependent identification gives excellent results whereas text independent identification gives almost 80% matching...

Speaker Independent Speech Recognition Using Hidden Markov Models for Persian Isolated Words

Speaker Independent Speech Recognition Using Hidden Markov Models for Persian Isolated Words

Factor analysis with sampling methods for text dependent speaker recognition

Factor analysis is a method for embedding high dimensional data into a lower dimensional factor space. When data are multimodal we use mixtures of factor analyzers (MFA), which assume statistically independent samples. In speaker recognition, samples are not independent because they depend on the speaker in the utterance. In joint factor analysis and i-vectors, the MFA latent factors are tied a...