1. Build core technologies and carry out cutting-edge research in multilingual speech recognition field, e.g., acoustic and language models optimization under low source conditions2.
Design and deploy different speech recognition engines for supporting multilingual speech and language processing3. Collaborate with linguistic experts for building data collection and labeling pipeline4.
Explore the next generation of speech understanding technology, and publish academic papersQualifications1. Familiar with the recent advance in the field of speech recognition, e.
g., mainstream algorithms related to acoustic and language models 2. Ph.D. or master's degree from top national or global universities, majoring in EE or CS in the related areas3.
Proficiency in one or more of the community open source tools such as Kaldi, SRILM, RNNLM and TensorFlow4. Proficiency in C / C++, Python and Shell programming language, with a deep understanding of data structure and algorithm design5.
Self-driven, innovative, collaborative, with good communication and presentation skills6. Candidates with publications in relevant international conferences (ICASSP, INTERSPEECH, ASRU) or mainstream journals are preferred