Unit selection based speech synthesis for converting short text message into voice message in mobile phones

Author(s):  
B. Bharthi ◽  
S. Kavitha ◽  
Nekshan Percy Kotwal ◽  
Nivedita Parasaram ◽  
J. Piriyanga
Vestnik MGSU ◽  
2015 ◽  
pp. 120-129
Author(s):  
Andrey Anatol’evich Volkov ◽  
Sergey Vladimirovich Antonov

At the present time the system of “Smart house” allows passing messages on any type of emergencies only out loud (phone call), though some individuals with disabilities will not be able to report an accident. Moreover, the pall showed, that 55 % of respondents would prefer sending text message on fire or other emergency to operations control duty desk. The respondents of this group feel it’s easier to make a photo or video of the accident. Though it is still impossible to analyze the data received in this form and make decisions automatically. In the conditions of yearly increase of the number of mobile phones getting text messages on emergencies is as important as processing of voice calls. Receiving and processing text messages would be current in case of terrorist attack. Any victim can noiseless send just one word and inform on the emergency. The article analyzes the process of receiving and processing messages when calling the emergency number 112. We propose a module of sending Messages-112 by persons with disabilities in the system of “smart house” in the form of short text messages (SMS).


2008 ◽  
Author(s):  
Grazyna Demenko ◽  
J. Bachan ◽  
Bernd Möbius ◽  
K. Klessa ◽  
M. Szymański ◽  
...  

2009 ◽  
Author(s):  
Abubeker Gamboa Rosales ◽  
Hamurabi Gamboa Rosales ◽  
Ruediger Hoffmann

2018 ◽  
Author(s):  
Babak Tofighi ◽  
Joshua Lee ◽  
Scott Sherman ◽  
Daniel Schatz ◽  
Omar El-Shahawy

BACKGROUND Smoking remains a major public health burden among persons with opioid and/or alcohol use disorder yet preferences for technology assisted smoking cessation strategies remain largely unknown among this population. OBJECTIVE Assess smoking patterns and preferences for adopting technology-based interventions targeting smoking among individuals with opioid and/or alcohol use disorder. METHODS A 48-item semi-structured survey was conducted among inpatient detoxification program patients eliciting demographic and clinical characteristics, smoking profile, technology use patterns, and preferences for adopting technology-based smoking cessation interventions. Multivariate logistic regression models further evaluated the association between participant demographic and clinical characteristics and technology preferences. RESULTS Participants were mostly male (91%), unemployed or dependent on public assistance (68%), and admitted for detoxification for alcohol (47%), heroin (31%), or both alcohol and heroin (22%). Past 30-day smoking was reported by 78% of the sample, and 60% reported at least one quit attempt in the past year. Mobile phone ownership was common (89%); with an average past-year turnover of 4 mobile phones and 3 phone numbers. Computer ownership was low (28%) and one third reported daily internet use (34%). Telephone (41%) and text message-based interventions (40%) were the most popular technology-based intervention to facilitate smoking cessation. CONCLUSIONS Despite concurrent AUD-OUD, most had attempted to quit smoking in the last year and preferred telephone- and text message-based interventions to facilitate smoking cessation. However, high turnover of mobile phones, phone numbers, and limited access to computers pose barriers to dissemination of technology-based smoking cessation interventions in this vulnerable population. CLINICALTRIAL K23DA042140-01A1


Gipan ◽  
2019 ◽  
Vol 4 ◽  
pp. 106-116
Author(s):  
Roop Shree Ratna Bajracharya ◽  
Santosh Regmi ◽  
Bal Krishna Bal ◽  
Balaram Prasain

Text-to-Speech (TTS) synthesis has come far from its primitive synthetic monotone voices to more natural and intelligible sounding voices. One of the direct applications of a natural sounding TTS systems is the screen reader applications for the visually impaired and the blind community. The Festival Speech Synthesis System uses a concatenative speech synthesis method together with the unit selection process to generate a natural sounding voice. This work primarily gives an account of the efforts put towards developing a Natural sounding TTS system for Nepali using the Festival system. We also shed light on the issues faced and the solutions derived which can be quite overlapping across other similar under-resourced languages in the region.


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