2 papers
cs.CL2022
End-to-end model for named entity recognition from speech without paired training data
Salima Mdhaffar, Jarod Duret, Titouan Parcollet +1
Recent works showed that end-to-end neural approaches tend to become very popular for spoken language understanding (SLU). Through the term end-to-end, one considers the use of a s…
cs.CL2021
Retrieving Speaker Information from Personalized Acoustic Models for Speech Recognition
Salima Mdhaffar, Jean-François Bonastre, Marc Tommasi +2
The widespread of powerful personal devices capable of collecting voice of their users has opened the opportunity to build speaker adapted speech recognition system (ASR) or to par…