Automatic Speech Recognition (ASR) performance depends on numerous issues. Automatic Speech Recognition (ASR) is a self-contained, automated procedure for deciphering and transcribing spoken language using machines. An ASR system commonly accepts audio input from a speaker via a microphone, evaluates it using a pattern, model, or algorithm, and generates an output, typically in the form of text. The language model facilitates the transformation of these probabilities into coherent linguistic expressions. The language model utilises statistical analysis of training data to assign probability to words and phrases. A language model is created by computing the probabilities of n-grams. The Automatic Speech Recognition (ASR) system is applied to both the pre-existing language model and the newly created language model in order to generatea transcriptedoutput. This output is then utilised to determine the Word Error Rate. A language model is essential in contemporary natural language processing(NLP) applications. In this article, the implementation of the ASR using N-gram model and the improvement in the word error rate by considering an language model is discussed.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Development of a Language Model to Enhance the Performance of Hindi Automatic Speech Recognition


    Contributors:


    Publication date :

    2024-11-06


    Size :

    520576 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Boosting of Speech Recognition Performance by Language Model Adaptation

    Korkmazsky, Filipp / Jojic, Oliver / Shevade, Bageshree | IEEE | 2007


    Hindi-Urdu

    Sungok Hong, Sunil Kumar Bhatt, Rajiv Ranjan, / Lakhan Gusain | OERSI | 2024

    Free access

    Speech Recognition for Japanese Spoken Language

    Furui, S. / IEEE; Hong Kong Chapter of Signal Processing | British Library Conference Proceedings | 1994


    Language Processing for Chinese Speech Recognition

    Huang, T. / Jiang, Y. / IEEE; Hong Kong Chapter of Signal Processing | British Library Conference Proceedings | 1994


    AUTOMATIC VEHICLE FOR SPEECH RECOGNITION COMPENSATION

    KIM JONG KYU / CHOI WI YEONG | European Patent Office | 2024

    Free access