Thanathai Lertpetchpun

tʰánátʰāj lɤ̂tpʰétpʰān

PhD Student in Electrical and Computer Engineering

University of Southern California

I research speech processing and machine learning, focusing on speaker & emotion recognition and anti-spoofing. I am advised by Shrikanth Narayanan.

Thanathai Lertpetchpun

About Me

Hi, I am Thanathai and from Thailand (you can probably guess that from my first name). I am a second year PhD Student at the University of Southern California, where I'm a member of the Signal Analysis and Interpretation Laboratory (SAIL). My research interests are in speech processing, representation learning, and fairness. Specifically, I work on speaker verification, speech emotion recognition, and voice anti-spoofing.

Before starting my PhD, I received my Bachelor's Degree in Computer Engineering from Chulalongkorn University, Thailand, where I also worked as a research assistant with Ekapol Chuangsuwanich on speaker verification and anti-spoofing. I've also had the opportunity to intern at Tencent Thailand in 2021, where I worked on news and song recommendation systems.

News

[Aug 2025] Three papers were accepted to Interspeech 2025!

[Aug 2023] One paper was accepted to Interspeech 2023!

Projects

ARTS: Anonymous Real-Time Speech

Oct 2024 - Present | USC - JHU - Meaning Company

  • Developed a state-of-the-art model for emotion attribute prediction (2 Interspeech 2025 publications).
  • Developing a phoneme-wise alignment for training a voice conversion model.
Voice Conversion Emotion Recognition Real-Time Speech

Speaker Recognition and Anti-spoofing System

Aug 2022 - May 2024 | Chulalongkorn University

  • Proposed a new normalization layer to address mismatched emotions and languages in speaker verification (1 Interspeech 2023 publication).
  • Proposed an amplification approach to amplify artifacts in spoofed utterances using speech enhancement (1 Interspeech 2025 publication).
Speaker Recognition Anti-spoofing Speech Enhancement

Awards & Honors

SER Challenge

Aug 2025

Rank 1st in attribute prediction and 2nd in category prediction on the Speech Emotion Recognition in Naturalistic Conditions Challenge.

Student Grant

Aug 2023

Awarded a Student Travel Grant for Interspeech 2023.