Text-to-speech processing using African language as case study

2006 ◽  
Vol 9 (2) ◽  
pp. 365-382 ◽  
Author(s):  
E. J. Ogwu ◽  
M. Talib ◽  
O. A. Odejobi
Keyword(s):  
Speech Processing ◽  
African Language ◽  
Text To Speech

Research and Design of Electronic Speech Reader Based on Text-to-Speech Technology

2012 ◽  
Vol 433-440 ◽  
pp. 4883-4887
Author(s):  
Hong Li Yang ◽  
Yun Yang ◽  
Zhu Yue
Keyword(s):  
Computer Technology ◽  
Speech Processing ◽  
Sound Signal ◽  
Current Development ◽  
Text To Speech ◽  
Speech Technology ◽  
Key Technology ◽  
Text Information ◽  
Voice Service ◽  
Research And Design

TTS, namely text-to-speech, is a kind of technology who can convert text information into sound signal according to information Speech processing rules. TTS, as the synthetic technology of the pronunciation, is the key technology in the current development of computer technology, and one of the most forward technical in its voice service, telephone banking, and information home appliances, mobile PDA fields. TTS has its extensive applications. In this paper, TTS is applied to electronic speech reader, which changes traditional way to read e-book, and both listening to and novels and learning English. This article introduces a method about how to make use of TTS technology, and how to achieve an electronic Speech reader of programming based on Visual Studio C# 2008 environment bring API and Microsoft SAPI interface.

Sounds Affecting the Moments of Stuttering in Multilingualism: A Case Study

2016 ◽  
Vol 38 (3) ◽  
pp. 154-160 ◽  
Author(s):  
Taryn Morrish ◽  
Amy Nesbitt ◽  
Mia le Roux ◽  
Ursula Zsilavecz ◽  
Jeannie van der Linde
Keyword(s):  
Sample Size ◽  
Language Proficiency ◽  
Mixed Method ◽  
Interrater Reliability ◽  
Future Research ◽  
African Language ◽  
Mixed Method Design ◽  
Larger Sample

Research involving stuttering in multilingual individuals is limited. Speech-language therapists face the challenge of treating a diverse client base, which includes multilingual individuals. The aim of this study was to examine the stuttering moments across English, Afrikaans, and German in a multilingual speaker. A single multilingual adult with a severe developmental stutter participated in this study. A mixed-method design was implemented. The results were perceptually analyzed, and interrater reliability was determined. The results revealed that the voiceless plosive [k], the voiceless fricative [f], and the plosive-lateral approximant cluster [kl] caused stuttering moments across the languages. More stuttering moments occurred on consonants as opposed to vowels. The most prominent core behavior was prolongations. Language proficiency plays a role in the increase of the moments of stuttering in the least proficient language. Future research on a larger sample size is recommended. Research on African language speaking multilingual person who stutters (PWS) should be pursued.

scholarly journals A Novel Text to Speech Technique for Tamil Language using Hidden Markov Models (HMM)

2019 ◽  
Vol 8 (10) ◽  
pp. 38-47
Keyword(s):  
Signal Processing ◽  
Markov Model ◽  
Speech Processing ◽  
Major Part ◽  
Markov Models ◽  
Hidden Markov ◽  
Digital Signal ◽  
Text To Speech ◽  
Traditional System ◽  
Local Languages

Application of digital signal processing in speech processing plays a major part in our everyday life. Text to speech system lets people to see and read out loud consecutively. Text-to-speech synthesizers use synthesis techniques that require good quality speech. Text to speech conversion (TTS) can apply to many applications such as automation, audio recording and audio-based assistance system. Text to speech conversion can be applied for various multinational language as well as for a number of local languages. An efficient text to speech conversion for Tamil language with extreme accuracy is proposed in this work. Multi feature, with a Hidden Markov Model (HMM) predictor is used to convert text to speech efficiently. By using the proposed method, the precision of the framework is enhanced by a factor of 6% when contrasted with the traditional system.

scholarly journals A CASE STUDY ON MANDARIN TEXT-TO-SPEECH

2021 ◽  
Vol 6 (41) ◽  
pp. 183-198
Author(s):  
Lian Lau Yoke ◽  
Wan Hurani Osman ◽  
Bernadette Tobi ◽  
Irma Wani Othman
Keyword(s):  
Human Nature ◽  
Reading Process ◽  
Text To Speech ◽  
The Future ◽  
Mandarin Language ◽  
Human Emotions ◽  
The Difference ◽  
Machine Reading

There are three objectives of this study. First, to investigate the effectiveness of TTS in Mandarin language reading, find out the shortage of TTS, and understand the difference between machine-reading and human reading. Second, the study concludes that TTS technology is mature enough now but still needs to solve some problems in specific criteria such as conveying humanity elements, putting in more human nature, and expressing human emotions in the reading process in the future. Third, teaching mandarin reading is still necessary as the TTS system could not, instead of the importance of a teacher in reading and learning thoroughly.

scholarly journals Assessment of vocal cord nodules: a case study in speech processing by using Hilbert-Huang Transform

2017 ◽  
Vol 842 ◽  
pp. 012025 ◽  
Author(s):  
M Civera ◽  
C M Filosi ◽  
N M Pugno ◽  
M Silvestrini ◽  
C Surace ◽  
...  
Keyword(s):  
Vocal Cord ◽  
Speech Processing ◽  
Hilbert Huang Transform
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