2017
Speech Activity Detection in online broadcast transcription using Deep Neural Networks and Weighted Finite State Transducers
ICASSP 2017accepted
In this paper, a new approach to online Speech Activity Detection (SAD) is proposed. This approach is designed for the use in a system that carries out 24/7 transcription of radio/TV broadcasts containing a large amount of non-speech segments, such as advertisements or music. To improve the robustne…