Jemima Goodall
Machine Learning Speech Scientist @Neuphonic
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WORK HISTORY
Machine Learning Speech Scientist @Neuphonic
Edinburgh, GB
Working in a small, fast-paced startup, I owned end-to-end multilingual TTS pipelines: finding, processing, and encoding hours of multilingual speech data pretraining speech language models across 7+ languages inference + cross-lingual evaluation procedure covering a range of intelligibility, naturalness, and speaker similarity metrics. I also owned a client-facing training programme, designing and delivering advanced workshops on TTS fine-tuning, evaluation, and architecture, alongside custom scripts for fine-tuning and post-training SOTA TTS.
EDUCATION
SOAS University of London
Bachelor’s Degree, Linguistics
The University of Edinburgh
Master of Science - MS, Speech and Language Processing
UCL
Bachelor of Arts - BA, Linguistics
Coursera
Learning how to Learn
University of Massachusetts Amherst
Year Abroad, Linguistics
Coursera
Introduction to Machine Learning in Production, ML Ops
St. Clare's, Oxford
High School, International Baccalaureate
The Purcell School of Music
High School, Music, Single Science, Double Science, English Lit, French, History, Maths, Art and English
ABOUT JEMIMA GOODALL
Machine Learning Engineer helping to build AI-generated personalised, multilingual voices.Speech and Language Processing (MSc) graduate with distinction at Edinburgh, with skills in python, NLP, signal processing and ML. Achieved distinction for my thesis in biomedical speech signal processing and statistical ML to assess cleft palate outcomes.Please do not hesitate to reach out for a chat, coffee, or just to say hi!
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