Query-by-Example approach of spoken content retrieval has gained much attention because
of its feasibility in the absence of speech recognition and its applicability in a multilingual …

Voice conversion (VC) technique modifies the speech utterance spoken by a source
speaker to make it sound like a target speaker is speaking. Gaussian Mixture Model (GMM) …

Alignment is a key step before learning a mapping function between a source and a target
speaker's spectral features in various state-of-the-art parallel data Voice Conversion (VC) …

In this paper, we use image processing techniques on the speech spectrogram to perform
speech phoneme segmentation. The proposed method relies solely on visual cues on the …

Automatic segmentation of speech is about identifying boundaries of phonemes in a given
utterance. This paper presents a strategy driven by cosine distance similarity scores for …

Voice Conversion (VC) is a technique that convert the perceived speaker identity from a
source speaker to a target speaker. Given a source and target speakers' parallel training …

The development of a speech recognition system for the Arabic language presents a
significant challenge, mainly due to the limited availability of digital resources specific to this …

Abstract Non-parallel Voice Conversion (VC) has gained significant attention since last one
decade. Obtaining corresponding speech frames from both the source and target speakers …

Voice Conversion (VC) requires an alignment of the spectral features before learning the
mapping function, due to the speaking rate variations across the source and target speakers …

Development of text-independent Voice Conversion (VC) has gained more research interest
for last one decade. Alignment of the source and target speakers' spectral features before …