Effectiveness of PLP-based phonetic segmentation for speech synthesis
In this paper, use of Viterbi-based algorithm and spectral transition measure (STM)-based
algorithm for the task of speech data labeling is being attempted. In the STM framework, we …
algorithm for the task of speech data labeling is being attempted. In the STM framework, we …
A novel approach to remove outliers for parallel voice conversion
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) …
speaker's spectral features in various state-of-the-art parallel data Voice Conversion (VC) …
Analysis of features and metrics for alignment in text-dependent voice conversion
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 …
source speaker to a target speaker. Given a source and target speakers' parallel training …
Gaussian filter-based speech segmentation algorithm for Gujarati language
PV Gujarathi, SR Patil - … Techniques and Applications: Proceedings of the …, 2021 - Springer
Automatic speech segmentation is a main step in speech signal production and analysis
process. Great advancement in speech synthesis has already been made using …
process. Great advancement in speech synthesis has already been made using …
Handwritten Digit Recognition using Ensemble Learning with Deep Learning-based Feature Fusion
A Ankoliya, H Bhadani, H Dalsania… - … on I-SMAC (IoT in Social …, 2024 - ieeexplore.ieee.org
India with its linguistic diversity consists of 22 officially recognized languages. The
multilingual nation is shifting towards digitization which has brought an upsurge in …
multilingual nation is shifting towards digitization which has brought an upsurge in …
A system for the conversion of digital Gujarati text-to-speech for visually impaired people
N Jariwala, B Patel - Speech and Language Processing for Human …, 2018 - Springer
In the epoch of hi-tech development, study on Text-to-Speech conversion shows remarkable
enhancement in last couple of decades. Visually impaired people are not able to read, so …
enhancement in last couple of decades. Visually impaired people are not able to read, so …
On the convergence of INCA algorithm
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 …
for last one decade. Alignment of the source and target speakers' spectral features before …
Analysis of natural and synthetic speech using Fujisaki model
Text-to-speech (TTS) synthesis systems are being advanced to achieve naturalness and
intelligibility in synthetic speech. Unit selection-based synthesis (USS) and Hidden Markov …
intelligibility in synthetic speech. Unit selection-based synthesis (USS) and Hidden Markov …
Text-to-Speech Conversion Using Concatenative Approach for Gujarati Language
Speech is often regarded as the primary and innate mode of communication used by
individuals within the human species. For the last three decades, there has been a …
individuals within the human species. For the last three decades, there has been a …
[PDF][PDF] Phone Aware Nearest Neighbor Technique Using Spectral Transition Measure for Non-Parallel Voice Conversion.
Nearest Neighbor (NN)-based alignment techniques are popular in non-parallel Voice
Conversion (VC). The performance of NN-based alignment improves with the information …
Conversion (VC). The performance of NN-based alignment improves with the information …