RESEARCH
Acoustic & Speech
Investigates various Speech signal processing schemes for acoustic modeling so that more robust speech recognition can be achieved. Our aim is to perform the state-of-art research providing effective means for achieving:
Investigates various Speech signal processing schemes for acoustic modeling so that more robust speech recognition can be achieved. Our aim is to perform the state-of-art research providing effective means for achieving:
Contents
1. Introduction
2. Relevant algorithms
3. Application demo
1. Introduction
- This research aims at processing an overlapped sound for acoustic event detection (AED) system by means of the source separation technique. The proposed system can be applied in various applications. (e.g. Home/Office surveillance system, Personal life-logging)
2. Relevant algorithms
l NMF non-negative Matrix Factorization (NMF)
n NMF algorithm decomposes a matrix V into two nonnegative matrices
n In the acoustic separation problem using NMF, a nonnegative matrix V can be regarded as a magnitude spectrogram
n Basis W and time evolution H are generated by decomposing V
n Update algorithm of the NMF
Fig. 1. An example of separating overlapped 6 event sounds
3. Application demo