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Incorporation of Happiness in Neutral Speech by Modifying Time-Domain Parameters of Emotive-Keywords
Human-computer interactions can be enhanced by making machines recognize the emotional state of a user and respond accordingly. This necessitates...
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Improved HMM-Based Mixed-Language (Telugu–Hindi) Polyglot Speech Synthesis
Speech synthesis research has recently focused on develo** polyglot speech synthesizers for handling mixed-language sentences. Polyglot speech...
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Balanced Arabic corpus design for speech synthesis
This paper aims to design and validate a phonetically balanced speech corpus for Arabic language. Designing and develo** a rich and phonetically...
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Bird Call Classification Using DNN-Based Acoustic Modelling
Bird call recognition using deep neural network-hidden Markov model (DNN-HMM)-based transcription is proposed. The work is an attempt to adapt the...
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Evaluation of speech unit modelling for HMM-based speech synthesis for Arabic
This paper investigates the use of hidden Markov models (HMM) for Modern Standard Arabic speech synthesis. HMM-based speech synthesis systems require...
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Speech Enabled Automatic Form Filling System
Our proposedMani, V. Ajith research work is about develo** speech driven automatic form filling system for English.Dhanalakshmi, A. The main aim of...
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Excitation Modeling Method Based on Inverse Filtering for HMM-Based Speech Synthesis
In this paper, we propose a novel excitation modeling approach for HMM-based speech synthesis system (HTS). Here, the excitation signal obtained via...
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\(F_{0}\) Modeling Using DNN for Arabic Parametric Speech Synthesis
Deep neural networks (DNN) are gaining increasing interest in speech processing applications, especially in text-to-speech synthesis. Actually...
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Synthetic speech detection through short-term and long-term prediction traces
Several methods for synthetic audio speech generation have been developed in the literature through the years. With the great technological advances...
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Literature Review
This chapter provides the literature survey. Prior work on multilingual speech recognition systems is provided. The use of AFs to improve performance...
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Hidden-Markov-model based statistical parametric speech synthesis for Marathi with optimal number of hidden states
Hidden Markov Model and Deep Neural Networks based Statistical Parametric Speech Synthesis systems, gain a significant attention from researchers...
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Speech synthesis for glottal activity region processing
The objective of this paper is to demonstrate the significance of combining different features present in the glottal activity region for statistical...
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Text-to-Speech Synthesis System for Mymensinghiya Dialect of Bangla Language
Speech is the most popular form of communication medium in everyday life. Mymensingia dialect is a dialect of Bangla language. In this paper, we have...
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Adaptive Template-Based Front End for Tone Language Speech Synthesis
An adaptive template-based approach to speech synthesis front end design for tone language systems is proposed in this Chapter. The chapter is...
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Robust Voicing Detection and F0 Estimation Method
In this chapter, a robust voicing detection and F 0 estimation method is proposed for HMM-based speech synthesis system. Impulse-like excitation...
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Background and Literature Review
This chapter provides a brief overview about the HMM-based speech synthesis. Existing works related to voicing detection and F 0 estimation are...
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Artificial Speech Corpus in Japanese for Anti-spoofing Automatic Speaker Recognition
In this paper, we introduce an artificial speech corpus in Japanese designed for anti-spoofing automatic speaker recognition. This speech corpus...
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Generation of Creaky Voice
This chapter deals with the development of an HMM-based speech synthesis system that is capable of generating the creaky voice in addition to modal...
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Parametric Approach of Modeling the Source Signal
In this chapter, two parametric source modeling methods are proposed for improving the quality of HMM-based speech synthesis. The two methods model...
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Hybrid Approach of Modeling the Source Signal
In this chapter, two hybrid source modeling methods are proposed for improving the quality of HMM-based speech synthesis. In the first method, the...