Real-Time Text Tracking for Text-to-Speech Translation Camera for the Blind

Real-Time Text & Speech Translation Using Sequence To Sequence Approach

10.1109/icirca51532.2021.9544509 ◽

2021 ◽

Author(s):

Dikshita Patel ◽

Minakshi Kudalkar ◽

Shashank Gupta ◽

Renuka Pawar

Keyword(s):

Real Time ◽

Speech Translation

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A Real-Time Scene Text to Speech System

Computer Vision – ECCV 2012. Workshops and Demonstrations - Lecture Notes in Computer Science ◽

10.1007/978-3-642-33885-4_66 ◽

2012 ◽

pp. 619-622

Author(s):

Lukáš Neumann ◽

Jiří Matas

Keyword(s):

Real Time ◽

Text To Speech ◽

Scene Text

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Image Talk: a real time synthetic talking head using one single image with Chinese text-to-speech capability

Proceedings Pacific Graphics '98. Sixth Pacific Conference on Computer Graphics and Applications (Cat. No.98EX208) ◽

10.1109/pccga.1998.732094 ◽

2002 ◽

Cited By ~ 3

Author(s):

Woei-Luen Perng ◽

Yungkang Wu ◽

Ming Ouhyoung

Keyword(s):

Real Time ◽

Chinese Text ◽

Single Image ◽

Text To Speech ◽

Talking Head

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A rule-based phrase parser for real-time text-to-speech synthesis

Natural Language Engineering ◽

10.1017/s1351324900000140 ◽

1995 ◽

Vol 1 (2) ◽

pp. 191-212 ◽

Cited By ~ 1

Author(s):

Joan Bachenko ◽

Eileen Fitzpatrick ◽

Jeffrey Daugherty

Keyword(s):

Real Time ◽

Hard Of Hearing ◽

Speech Synthesis ◽

Break Point ◽

Linguistic Context ◽

Text To Speech ◽

Rule Based ◽

Front End ◽

Text To Speech Synthesis ◽

Break Points

AbstractText-to-speech systems are currently designed to work on complete sentences and paragraphs, thereby allowing front end processors access to large amounts of linguistic context. Problems with this design arise when applications require text to be synthesized in near real time, as it is being typed. How does the system decide which incoming words should be collected and synthesized as a group when prior and subsequent word groups are unknown? We describe a rule-based parser that uses a three cell buffer and phrasing rules to identify break points for incoming text. Words up to the break point are synthesized as new text is moved into the buffer; no hierarchical structure is built beyond the lexical level. The parser was developed for use in a system that synthesizes written telecommunications by Deaf and hard of hearing people. These are texts written entirely in upper case, with little or no punctuation, and using a nonstandard variety of English (e.g. WHEN DO I WILL CALL BACK YOU). The parser performed well in a three month field trial utilizing tens of thousands of texts. Laboratory tests indicate that the parser exhibited a low error rate when compared with a human reader.

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Real-Time Driver Drowsiness Detection using Computer Vision

International Journal of Engineering and Advanced Technology - Regular Issue ◽

10.35940/ijeat.a3159.1011121 ◽

2021 ◽

Vol 11 (1) ◽

pp. 109-113

Author(s):

Mahek Jain ◽

◽

Bhavya Bhagerathi ◽

Dr. Sowmyarani C N ◽

◽

...

Keyword(s):

Computer Vision ◽

Aspect Ratio ◽

Real Time ◽

Threshold Value ◽

Transportation Safety ◽

Road Accidents ◽

Text To Speech ◽

Upper Lip ◽

Lower Lip ◽

Driver Drowsiness

The proposed system aims to lessen the number of accidents that occur due to drivers’ drowsiness and fatigue, which will in turn increase transportation safety. This is becoming a common reason for accidents in recent times. Several faces and body gestures are considered such as signs of drowsiness and fatigue in drivers, including tiredness in eyes and yawning. These features are an indication that the driver’s condition is improper. EAR (Eye Aspect Ratio) computes the ratio of distances between the horizontal and vertical eye landmarks which is required for detection of drowsiness. For the purpose of yawn detection, a YAWN value is calculated using the distance between the lower lip and the upper lip, and the distance will be compared against a threshold value. We have deployed an eSpeak module (text to speech synthesizer) which is used for giving appropriate voice alerts when the driver is feeling drowsy or is yawning. The proposed system is designed to decrease the rate of accidents and to contribute to the technology with the goal to prevent fatalities caused due to road accidents.

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