[PDF] Top 20 Croatian HMM-based Speech Synthesis
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Croatian HMM-based Speech Synthesis
... The speech is organized in 1111 spoken utter- ances lasting 85 minutes and containing 12265 words where 3840 are ...the speech corpora is 8290 which is about 14% of the number of all possible tri- phones ( ... See full document
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Performance Analysis of Text To Speech Synthesis System Using HMM And Prosody Features With Parsing For Tamil Language
... and synthesis shown in Figure ...the speech data using (GIF). The HMM is trained using these ...the synthesis phase, first, an arbitrarily given text is transformed into a sequence of context ... See full document
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Optimization of Arabic Database and an Implementation for Arabic Speech Synthesis System using HMM: HTS ARAB TALK
... parametric speech synthesis system based on hidden Markov models ...(HMMs). HMM is a new approach that has grown in the last few years which has been proved as a powerful tool in speech ... See full document
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Context-dependent acoustic modeling based on hidden maximum entropy model for statistical parametric speech synthesis
... of speech are expressed concurrently in a unified framework of context-dependent multi-space probability distribution hidden semi-Markov model (HSMM) ...context-dependent HMM states, and each group shares ... See full document
21
Continuous Expressive Speaking Styles Synthesis based on CVSM and MR HMM
... to speech system was evaluated by means of a perceptual evaluation in order to compare them with traditional approaches to the ...expressive speech synthesis (average of 3.6) although with a drop in ... See full document
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Reducing over-smoothness in HMM-based speech synthesis using exemplar-based voice conversion
... likelihood based on not only an HMM likelihood but also a global variance likelihood, resulting in an increase of the global variance of the generated parameter ...synthetic speech was significantly ... See full document
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Soft context clustering for F0 modeling in HMM based speech synthesis
... Zen et al. [49] also developed an additive F0 modeling structure with multiple components for mean vectors and a single component for variance values. Accordingly, multiple decision trees were trained for the mean vec- ... See full document
17
HMM-Based Analysis and Synthesis of Emotional Assamese Speech With Reference to its Prosody Features
... emptional speech , there are there are three VOT patterns found in Assamese language ...rhythm, speech rate, number of syllables and vowel quality ... See full document
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Cross-Validation and Minimum Generation Error based Decision Tree Pruning for HMM-based Speech Synthesis
... of HMM-based parametric speech synthesis by cross-validation (CV) under the minimum generation error (MGE) ...an HMM based speech synthesis ...derived based ... See full document
16
An expressive HMM based text to speech synthesis system utilizing glottal inverse filtering for Tamil language
... Another test is conducted only for the synthetic sounds produced by the HMM-based TTS systems. Fifteen indiscriminately selected sentences from held-out data (different from the ones used in the CCR test) ... See full document
5
Implementation of Text to Speech Conversion Technique
... text-to-speech based on sub-band approach. This paper proposes a sub-band speech synthesis approach to develop high-quality Text-to-Speech ...(HMM)-based speech ... See full document
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A Multi Model HMM Based Speech Synthesis
... To perform MCD, BAD, CV/U and RMSE/F, synthesized speeches are warped with reference speeches using a dynamic time warping algorithm [25]. A minimum distance of spectrum features is a criterion for wrapping. Then wrapped ... See full document
17
Phone set selection for HMM based dialect speech synthesis
... Based on a phonetic transcription of the training corpus, flat-start forced alignment with HTK was carried out. Stops are split into two parts, one for the closure and one for plosion plus burst. Ad- ditionally, ... See full document
5
An HMM Based Approach to Automatic Phrasing for Mandarin Text to Speech Synthesis
... grammar- based structure that can be extracted from ...Mandarin speech synthesis, we cannot derive the prosodic structure from POS sequence ... See full document
6
Tamil Speech Recognition Using Hybrid Technique of EWTLBO and HMM
... The proposed system is implemented using MATLAB 7.14 version. The experiments are carried out using Laptop with Intel CORE 2 DUO processor configuration in Microsoft Windows 2007 Environment. It is commonly used ... See full document
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Assessment of naturalness in the ProSynth speech synthesis project
... In this paper we have presented a view that an important aspect of the naturalness of synthetic speech is how easy it is to understand. This approach to naturalness is important because it opens the possibility of ... See full document
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Speech Synthesis System for Telugu Language
... Speech synthesis is the artificial production of human ...a speech synthesizer, and can be implemented in software or hardware ...into speech; other systems render symbolic linguistic ... See full document
6
Single microphone speech separation by diffusion-based HMM estimation
... Roweis [36] modeled the log-spectra of the two speak- ers as the output of HMM processes. Using the log-max approximation, the log-spectrum of the mixture signal is approximated by the maximum between the ... See full document
19
State Transition Interpolation and MAP Adaptation for HMM based Dysarthric Speech Recognition
... Speaking for long periods of time is tiring, espe- cially for a person with dysarthria, therefore it is dif- ficult for a person with dysarthria to train a speaker- dependent ASR. Speaker adaptation then seems a useful ... See full document
8
Performance Evaluation of Blind Equalization for Mel LPC based Speech Recognition under Different Noisy Conditions
... distributed speech recognizer (DSR) for real-world applications by employing Blind Equalization (BEQ) for robust feature ...Mel-LP based speech analysis has been used in speech coding on the ... See full document
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