Matlab-based Epoch Extraction for Speaker Differentiation

TL;DR

This paper presents a Matlab-based approach for extracting speech Epochs to differentiate speakers, evaluates methods like ZFF and ZFR, and demonstrates effective speaker identification with Raspberry Pi hardware implementation.

Contribution

It introduces a novel hardware implementation for Epoch extraction using Raspberry Pi and compares multiple methods for accuracy and stability in speaker differentiation.

Findings

Average Delta for same speaker: 7.5 epochs

Average Delta decreases significantly for different speakers

Raspberry Pi implementation is feasible for real-time speaker differentiation

Abstract

Epoch extraction has become increasingly popular in recent years for speech analysis research because accurately detecting the location of the Epoch is crucial for analyzing speech signals. The Epoch, occurring at the instant of excitation in the vocal tract system, particularly during glottal closure, plays a significant role in differentiating speakers in multi-speaker conversations. However, the extraction of the Epoch poses a challenge due to the time-varying factors in the vocal tract system, which makes deconvolution for obtaining the original excitation location more complex. In this paper, various methods for Epoch extraction, including Zero Frequency Filtering (ZFF) and Zero Frequency Resonator (ZFR), will be discussed, and their pros and cons evaluated. In addition, the stability, accuracy, and feasibility of each method will be compared. The evaluation will involve a Matlab-based locking algorithm, and a proposed hardware implementation using Raspberry pi for speaker differentiation. The experiment includes six individuals uttering the phrase "The University of Mississippi," with one person acting as the reference or "lock" speaker. The number of epochs occurring at similar positions to the reference speaker will be counted as Delta, with larger Delta values indicating greater speaker similarity. Experimental results demonstrate that when the speaker remains the same, the average number of Delta is 7.5, while for different speakers, the average number of Delta decreases to 3, 2, 2, and 1, respectively, representing a decrease of approximately 73% in the number of epochs at similar positions compared to the reference speaker.