Automated Speech Recognition System (ASR)
نویسندگان
چکیده
This paper reports the results of the first phase of a research work for building a high performance, speakerindependent natural Arabic speech recognition system. This work aims at developing an Arabic broadcast news transcription system and a base system for further research. Several concurrent recent advances in Arabic language processing were crucial for the success of this stage, e.g automatic generation of Arabic diacritical marks, and rule-based phoneme dictionary. The developed Arabic speech recognition system is based on the Carnegie Mellon university Sphinx tools.
منابع مشابه
Ensemble Feature Extraction Modules for Improved Hindi Speech Recognition System
Speech is the most natural way of communication between human beings. The field of speech recognition generates intrigues of man – machine conversation and due to its versatile applications; automatic speech recognition systems have been designed. In this paper we are presenting a novel approach for Hindi speech recognition by ensemble feature extraction modules of ASR systems and their outputs...
متن کاملSpeech Recognition on Vector
From cellphones and PDAs to huge automated call centers, speech recognition is becoming more and more ubiquitous. As demand for automatic speech recognition (ASR) applications increases, so too does the need to run ASR algorithms on a variety of unconventional computer architectures. One such architecture uses a vector processor, which has many beneets in terms of performance, power consumption...
متن کاملSemi-automated update of automatic transcription system for the Japanese national congress
Update of acoustic and language models is vital to maintain performance of automatic speech recognition (ASR) systems. To alleviate efforts for updating models, we propose a “semi-automated” framework for the ASR system of the Japanese National Congress. The framework consists of our speaking-style transformation (SST) and lightly-supervised training (LSV) approaches, which can automatically ge...
متن کاملIs ASR accurate enough for automated reading tutors, and how can we tell?
We discuss pros and cons of several ways to evaluate ASR accuracy in automated tutors that listen to students read aloud. Whether ASR is accurate enough for a particular reading tutor function depends on what ASR-based judgment it requires, the visibility of that judgment to students and teachers, and the amount of input speech on which it is based. How to tell depends on the purpose, criterion...
متن کاملDual-Type Automatic Speech Recogniser Designs for Spoken Dialogue Systems
A Dual-Type automatic speech recogniser (ASR) is a multi-pass ASR system that incorporates both a speaker-independent (SI) and a speaker-dependent (SD) ASR. The purpose of this approach is to improve the robustness of spoken dialogue systems for a broader range of applications. This paper identifies feasible Dual-Type multi-pass ASR system designs that are intended to overcome limitations arisi...
متن کاملTowards large vocabulary ASR on embedded platforms
In this paper we present an overview of an automatic speech recognition system implementation in the context of embedded systems. Specific challenges presented by low resource platforms will be addressed for the basic components of an ASR decoder. Our main objective is to utilize and modify the technology developed for large vocabulary ASR to achieve efficient LVCSR on embedded systems as well.
متن کامل