Sign O Speech Automata
نویسندگان
چکیده
This paper reveals an innovative idea of a two-way system to convert sign language into speech and vice versa, with tools and technology that has characteristics of increasing adaptability to enhance its purpose. This system is constituted of a hand gestures recogniser (for reading and analysing the hand movements), speech recogniser (for recording the spoken words), language translator (for converting the signs of the sign language into an effective words and vice versa), effective data extractor (for reading and searching data from the database with accuracy and optimisation) and an interactive animation module (for playing back the sound or the sign language) MUMBOLA. After years of research and development the accuracy of sign language to speech translation system and its feasibility remains one of the important research challenges. This paper presents an idea of converting the sign language to speech and vice versa covering the main challenges discussed above as well as the challenges including availability, integrity and authentication. Our aim is to bring down the wall between the deaf-mute people and the outside world as “EVERY PERSON LIVING IN THE WORLD HAS THE RIGHT TO LIVE PEACEFULLY, AND NO ONE CAN SNATCH IT FROM THEM, NOT EVEN THEIR HEARING OR SPEAKING IMPAIRMENT.” General Terms Depth Imaging, Hand Gesture Recognition System, Google Wristband, Rings and Bracelets, Electronic Gloves,
منابع مشابه
Efficient Algorithms for Testing the Twins Property
Weighted automata and transducers are powerful devices used in many large-scale applications. The efficiency of these applications is substantially increased when the automata or transducers used are deterministic. There exists a general determinization algorithm for weighted automata and transducers that is an extension of the classical subset construction used in the case of unweighted finite...
متن کاملReal-Time American Sign Language Recognition from Video Using Hidden Markov Models
Hidden Markov models (HMM’s) have been used prominently and successfully in speech recognition and, more recently, in handwriting recognition. Consequently, they seem ideal f o r visual recognition of complex, structured hand gestures such as are found in sign language. We describe a real-time HMM-based system for recognizing sentence level American Sign Language (ASL) which attains a word accu...
متن کاملComputer Semiotics
This paper presents semiotics as a framework for unders tanding and designing computer systems as sign systems. Although semiotic methods can be applied to all levels of computer systems, they view computer systems under a particular perspective, namely as targets of interpretations. When we need to see c o m p u t e r systems as automata, semiotics has little to offer. The main focus of the pa...
متن کاملBilateral Schwartze Sign, Decision-Making for Surgery
Otosclerosis is an otic capsule disorder that leads to progressive conductive and/or sensorineural hearing loss due to stapes footplate fixation and cochlear bone involvement. The disorder is bilateral in 70% of patients and it usually starts between the third and fifth decade. One of its characteristic clinical findings is Schwartze sign which refers to a reddish discoloration over the promont...
متن کاملWeighted Rational Transductions and their Application to Human Language Processing
We present the concepts of weighted language, ~ansduction and automaton from algebraic automata theory as a general framework for describing and implementing decoding cascades in speech and language processing. This generality allows us to represent uniformly such information sources as pronunciation dictionaries, language models artd lattices, and to use uniform algorithms for building decodin...
متن کامل