Performance Analysis of Several Pitch Detection Algorithms on Simulated and Real Noisy Speech Data - Archive ouverte HAL Access content directly
Conference Papers Year : 2017

Performance Analysis of Several Pitch Detection Algorithms on Simulated and Real Noisy Speech Data

(1) , (1)
1

Abstract

This paper analyses the performance of a large bunch of pitch detection algorithms on clean and noisy speech data. Two sets of noisy speech data are considered. One corresponds to simulated noisy data, and is obtained by adding several types of noise signals at various levels on the clean speech data of the Pitch-Tracking Database from Graz University of Technology (PTDB-TUG). The second one, SPEECON, was recorded in several different acoustic environments. The paper discusses the performance of pitch detection algorithms on the simulated noisy data, and on the real noisy data of the SPEECON corpus. Also, an analysis of the performance of the best pitch detection algorithm with respect to estimated signal-to-noise ratio (SNR) shows that very similar performance is observed on the real noisy data recorded in public places, and on the clean data with addition of babble noise.
Fichier principal
Vignette du fichier
D.Jouvet-ComparingF0AlgorithmsOnNoisyData-V2-Upload13June2017.pdf (336.2 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-01585554 , version 1 (11-09-2017)

Identifiers

  • HAL Id : hal-01585554 , version 1

Cite

Denis Jouvet, Yves Laprie. Performance Analysis of Several Pitch Detection Algorithms on Simulated and Real Noisy Speech Data. EUSIPCO'2017, 25th European Signal Processing Conference , Aug 2017, Kos, Greece. ⟨hal-01585554⟩
444 View
3394 Download

Share

Gmail Facebook Twitter LinkedIn More