id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
cana-5407	A. Bala Raju, S. P Singh, Dhiraj Sunehra	Voice Conversion using Hybrid CNN BiLSTM-WaveNet Deep Learning Models	2025	14	.pdf	application/pdf	5990	306	47	balaraju_ap@yahoo.co.in1, spsingh@mgit.ac.in2, dhirajsunehra@yahoo.co.in3 Article History: Received: 12-01-2025 Revised: 15-02-2025 Accepted: 01-03-2025 Abstract: Voice conversion is an exciting area of speech processing in which deep learning approaches are developed that can modify the vocal qualities of an speaker to resemble the voice of another person without altering the context of the utterance. Keywords: Voice Conversion, Deep Learning, Speech Processing, Speech to Text, Bidirectional LSTM, WaveNet Vocoder Introduction: Voice conversion is a domain of speech processing, and it is fascinating to interact by observing how the special human speech ability specifies in words is first converted into a different form that maintains the semantic bearing of what the original voice has spoken [1].	cache/cana-5407.pdf	txt/cana-5407.txt