In language modeling however, this approach of overlapped data points has not yet been fully exploited.
extracting frame-based acoustic features such as mel-fequency cepstral coefficients (MFCCs) using overlapping windows is a common technique in speech processing and more specifically in automatic speech recognition (ASR) (Chiu et al., 2018;Kim and Stern, 2016).