A front-end technique for automatic noisy speech recognition
The sounds in a real environment not often take place in isolation because sounds are
building complex and usually happen concurrently. Auditory masking relates to the …
building complex and usually happen concurrently. Auditory masking relates to the …
Parasitic sorority of speech processing algorithms with an assortment of statistical toolkits
Speech is a one-dimensional quasi non-stationary time varying signal produced by a
sequence of sounds. Speech signals are random in nature. Speech signals are easily …
sequence of sounds. Speech signals are random in nature. Speech signals are easily …
[PDF][PDF] Investigating Khasi speech recognition systems using a recurrent neural network-based language model
The language model (LM) plays a vital role in automatic speech recognition systems (ASRs),
and it remains a challenging task, particularly with low/under-resourced languages. Khasi …
and it remains a challenging task, particularly with low/under-resourced languages. Khasi …
Hindi Speech Recognition Using Deep Learning: A Review
Speech recognition is a technology that enables humans and machines to communicate by
converting spoken words into text. Hindi is spoken extensively in various regions of India …
converting spoken words into text. Hindi is spoken extensively in various regions of India …
Improvement in monaural speech separation using sparse non-negative tucker decomposition
A monaural speech separation/enhancement technique based on non-negative tucker
decomposition (NTD) has been introduced in this paper. In the proposed work, the effect of …
decomposition (NTD) has been introduced in this paper. In the proposed work, the effect of …