Department of Engineering

Machine Intelligence Laboratory

Matt Shannon

Matt Shannon

Position: PhD student in statistical speech synthesis

Email: sms46 AT cam ac uk

Supervisor: Dr Bill Byrne

Research

Acoustic modelling for statistical speech synthesis. For the first part of my PhD I was part of the EMIME (Effective Multilingual Interaction in Mobile Environments) project for personalized speech synthesis.

Software

  • armspeech
    Flexible python framework for probabilistic modelling of speech with a focus on autoregressive models. Allows the use of more complicated autoregressive-style output distributions than the HTS implementation below. Includes example experiments.
  • Autoregressive HMM for HTS
    An implementation of the autoregressive HMM built on top of HTS (HMM-based Speech Synthesis System). It provides the ability to do embedded re-estimation, decision tree clustering and synthesis using the autoregressive HMM. An example of how to use this implementation is available (autoregressive HMM version of the HTS demo).

Publications

Talks

Teaching

  • demonstrator for CSTIT MPhil course 2008-9 and 2009-10

Contact Information

Baker Building, BE5-02
Engineering Department
Trumpington Street, Cambridge
CB2 1PZ, United Kingdom