Research Associate
2 days ago
Key Responsibilities:- Conducting regular model training and evaluation for TTS and ASR tasks.- Regularly reporting experimental results to supervisor and project funders, propose solutions for further improvement and ensure targeted deliverables are met at each project deliverable milestones.- Organize and prepare acoustic and text data for text to speech and speech recognition training using end-to-end/deep learning frameworks such as Wenet, Whisper, ESPnet, Kaldi.- Write document and transfer developed models to engineering team and/or project’s funder for replication and future usages.- Publish papers on top-tier conferences/journal in the relevant fields.- Collaborate with engineering team to develop and deploy SDKs and demonstration systems.- Managing team’s computing resources to support team’s research experiments.
Job Requirements:
- Master’s Degree in computer science/engineering or related fields.- Experience with speech and text data processing, data preparation and organization for deep learning model training.- Strong in the following programming languages: Python, Pytorch, C/C++, Linux Bash/Shell.- Having prior experience with speech processing frameworks such as ESPnet, Wenet, Whisper, Kaldi- Having solid background in deep learning for speech and language technologies, transformers and end-to-end ASR.- Prior experience with ASR for accented English and/or children speech is strongly preferred.- Having publications at top-tier conferences in speech processing fields such as Interspeech, ICASSP is a plus.
Hiring Institution: NTU
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