Lecture Title: Statistical Parametric Speech Synthesis with focus on LDM based TTS
Presented By: Gagandeep Singh
Location: D.L. Pratt Building, 6 King's College Road, Room 266
Abstract: Over the past few years statistical models based speech synthesis, often called statistical parametric speech synthesis (SPSS), has gained popularity over the exemplar-based speech synthesis. In this talk, I will first present the general idea about the HMM-based speech synthesis (HTS) which has historically been the most popular SPSS model. I will then introduce the linear dynamical models (LDMs) based speech synthesis, which overcomes some of the challenges faced by HTS. After some general discussion about LDMs, I will discuss about their usage in speech synthesis. This will be followed by a brief discussion about neural-network-based speech synthesis, I will finally relate and compare the LDM-TTS to neural speech synthesis.