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Journal : Indonesian Journal of Electrical Engineering and Computer Science

A Real-time Application Framework for Web-Based Speech Recognition Using HTTP/2 and SSE Kalamullah Ramli; Asril Jarin; Suryadi Suryadi
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 3: December 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v12.i3.pp1230-1238

Abstract

The performance of network-based speech recognition application is mainly determined by the availability of all speech data received on the server and also the realtimeness in delivering the recognition results from the server. On the basis of full-duplex speech recognition application this paper proposes a real-time application framework for web speech recognition using HTTP/2 protocol and Sender-Sent Events (SSE). A number of experiments were performed to compare the latency of both the application using HTTP/2 plus SSE and the full-duplex application using WebSocket. The results showed that the proposed framework offers better alternative for a web-based speech recognition than the framework using WebSocket.
Packet Delay Distribution Model for Investigating Delay of Network Speech Recognition Asril Jarin; Suryadi Suryadi; Kalamullah Ramli
Indonesian Journal of Electrical Engineering and Computer Science Vol 5, No 1: January 2017
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v5.i1.pp11-18

Abstract

Unlike multimedia streaming applications that require a smooth playback at the client, application of network speech recognition (NSR) that recognizes speech signal in a sentence-by-sentence manner might tolerate an acceptable delay. The acceptable delay is a user-defined time in which the entire sentence data should be received by the server. We proposed a calculation method to investigate the acceptable delay of network speech recognition that employs a speech segmenter to send speech signal sentence-by-sentence over TCP channel to the server. The calculation multiplies the mean packet delay of TCP flow at steady-state with the number of created packets. For validation we implemented a MATLAB program and solved it using 2500 Indonesian speech sentences. The results were then compared with the results of our previous model that used a transient analysis method. It was found that this calculation method is not appropriate due to the transient behavior of the streaming sentences.