Audio-visual speech enhancement with AVCDCN (audio-visual codebook dependent cepstral normalization)

In this paper, we introduce a non-linear enhancement technique called Audio-Visual Codebook Dependent Cepstral Normalization (AVCDCN) and we consider its use with both audio-only and audio-visual speech recognition. AVCDCN is inspired from CDCN [1] [2], an audio-only enhancement technique that approximates the non-linear effect of noise on speech with a piece-wise constant function. Our experiments show that the use of visual information in AVCDCN allows significant performance gains over CDCN.