Posted on:19 Feb 2023 BACK TO SEARCH

Fully Funded PhD Position in Speech/audio processing

Cross-Caps Lab, Infosys Centre for AI
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Key Skills

Kaldi toolkit, Speech recognition, Speech Technology, TensorFlow

Job Description

Cross-Caps Lab, Infosys Centre for AI @IIIT Delhi is inviting applications for an open-ended PhD position suitable for a candidate with a strong background in one of these or related areas: functional approximation theory, harmonic analysis, random matrix theory or information theory applied to inverse problems in speech/audio processing.For general queries, interested candidates can send an email to abrol@iiitd.ac.in with the subject - Inquiry for Ph.D. (ASR) @ Cross-Caps.Timelines and Application Procedure:Applications are accepted through this Google form https://lnkd.in/ez4TaWCXThe position will start asap but is quite flexible.Applications will be evaluated constantly and will be filled on as soon as a suitable candidate is found.Benefits:Salary equivalent of PMRF ​INR 60K - 65K per month available based on prior experience and for deserving candidates.Access to high-performance computing infrastructure.Networking opportunity with peers and collaborators via overseas visiting research fellowship.QualificationsYou must hold a Bachelor's or Master's (preferable) degree with CGPA>7 in CSE/ECE/Mathematics or related disciplines.You should demonstrate experience with sequence-to-sequence-based Deep Learning technologies (e.g., Transformers, LSTM, NMT, Conformer, DeepSpeech) and building Automatic Speech Recognition (ASR) pipelines using one of the popular tools such as Kaldi, SpeechBrain, ESPNet, or TensorflowASR in tandem with TF/Pytorch. Knowledge and hands-on experience with classical machine learning algorithms are always a plus.Apply online via https://sites.google.com/view/vinayakabrol/vacancy

Company Info.

Cross-Caps Lab, Infosys Centre for AI

Cross-Caps Laboratory as a part of the Infosys Centre for Artificial Intelligence focuses on design, and analysis of numerical algorithms for information inspired applications in signal processing and machine learning. Members of our research lab are associated with one of the sub-groups namely

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Fully Funded PhD Position in Automatic Speech Recognition

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