2. Speech Signal Processing Tools.md

The topics include:

Part 1: Includes speech signal acquisition, visualisation, pre-processing: UoA Mediastore Link

Part 2: Includes hand-crafted features and spectrogram of a speech signal: UoA Mediastore Link

Part 3: Includes speech feature analysis, towards Machine learning and evaluation: UoA Mediastore Link

Also, including the links to the analysis tools mentioned in the presentation: Praat: https://www.fon.hum.uva.nl/praat/

WavSurfer: https://sourceforge.net/projects/wavesurfer/

EmuR: https://ips-lmu.github.io/EMU.html

R: https://www.r-project.org/

R Studio: https://rstudio.com/

ggplot2: https://r4ds.had.co.nz/data-visualisation.html

Librosa: https://librosa.org/doc/latest/index.html

OpenSmile: https://github.com/audeering/opensmile-python

JLCorpus: https://github.com/tli725/JL-Corpus

These resources were compiled by Dr Jesin James.