SPEECH RECOGNITION SYSTEM FOR TEACHING ASSISTANCE
20230096430 ยท 2023-03-30
Inventors
- Sin Horng CHEN (Hsinchu, TW)
- Yuan Fu LIAO (Hsinchu, TW)
- Yih Ru WANG (Hsinchu, TW)
- Shaw Hwa HWANG (Hsinchu, TW)
- Bing Chih YAO (Hsinchu, TW)
- Cheng Yu YEH (Hsinchu, TW)
- You Shuo CHEN (Hsinchu, TW)
- Yao Hsing CHUNG (Hsinchu, TW)
- Yen Chun HUANG (Hsinchu, TW)
- Chi Jung HUANG (Hsinchu, TW)
- Li Te SHEN (Hsinchu, TW)
- Ning Yun KU (Hsinchu, TW)
Cpc classification
International classification
Abstract
The present invention provides a speech recognition system for teaching assistance, which provides caption service for the hearing impaired. This system includes a speaker and a automatic speech recognition (ASR) classroom server, a listener-typist and a computer, a hearing impaired and a live screen, all are in the same classroom. Connect the ASR classroom server, the computer and the live screen with a local area network. The speaker's audio is sent to the ASR classroom server by a microphone for being converted into text caption, and then the text caption is sent to the live screen of the hearing impaired together with the speaker's audio so that the hearing impaired can read the text caption spoken by the speaker. The text caption can be corrected by the listener-typist to make it completely correct.
Claims
1. A speech recognition system for teaching assistance, comprising: a speaker and a automatic speech recognition (ASR) classroom server, a listener-typist and a computer, a hearing impaired and a live screen; connect the ASR classroom server, the computer and the live screen with a local area network, all are at a same classroom; an audio of the speaker is sent by a microphone to the ASR classroom server for being converted into a text caption, and then the text caption is sent to the live screen of the hearing impaired together with the speaker's audio through the local area network, so that the hearing impaired can read the text caption spoken by the speaker; if the listener-typist finds some errors in the text caption, the listener-typist can correct it on the computer.
2. The speech recognition system for teaching assistance according to claim 1, wherein the ASR classroom server comprising: a microphone input to receive a lecturing content of the speaker; an open source speech recognition toolkit for conducting speech recognition and signal processing; a web server is responsible for providing a web page for being transmitted to the computer and the live screen through an HTTP protocol; a recording module is used for a playback function of the listener-typist.
3. The speech recognition system for teaching assistance according to claim 2, wherein the text caption generating process of the ASR classroom server comprising steps as below: the microphone input receives the lecturing content of the speaker to form an audio stream, and being inputted into the open source speech recognition toolkit and the recording module respectively; the recording module records the audio stream into an audio record based on the time; after the open source speech recognition toolkit receives the audio stream, the audio stream will be converted into a text caption, each section of the text caption will be added with a label, the label will describe what second of the audio record that the section of the text caption is corresponding to, and how long it is; the text caption and label thereof will be shown on a web page of the web server for being sent to the computer and the live screen through the local area network.
4. The speech recognition system for teaching assistance according to claim 3, wherein the listener-typist logins in the web server of the ASR classroom server through the local area network for reading the text caption and listening the audio of the speaker; the listener-typist is set up to have the authority of reading and writing in the ASR classroom server so as to be capable to revise the text caption generated by the open source speech recognition toolkit in the web server.
5. The speech recognition system for teaching assistance according to claim 2, wherein the open source speech recognition toolkit is Kaldi ASR, which can be obtained freely under Apache License v2.0.
Description
BRIEF DESCRIPTION OF THE DRAWINGS
[0009]
[0010]
[0011]
[0012]
[0013]
DETAILED DESCRIPTIONS OF THE PREFERRED EMBODIMENTS
[0014]
[0015]
[0016] The ASR classroom server 2 uses an open source speech recognition toolkit Kaldi ASR 9 for speech recognition and signal processing, which can be obtained freely under Apache License v2.0.
[0017] The ASR classroom server 2 has to be equipped with a web server 10, which is an interface for providing the web and for being delivered to clients through HTTP (web browser). The clients mean the computer 4 and the live screen 6. The ASR classroom server 2 has a recording module 11 for being used by the listener-typist 3 to conduct a playback function.
[0018] Referring to
[0019] Referring to
[0020] The listener-typist 3 is set up to have the authority of reading and writing in the ASR classroom server 2 so as to be capable to revise the text generated by the Kaldi ASR 9 in the web server 10. Each section of the text has a label, for example, if the listener- typist 3 clicks two times on the C section of the text, the web server 10 will follow the instructions of the related label to ask the audio record 13 to playback the paragraph of the N3 second with time length Z seconds, so that the listener-typist 3 can recognize the contents spoken by the speaker 1 for amending the text.
[0021] Referring to
[0022] The text caption 61 on the live screen 6 reading by the hearing impaired 5 is a convertion of the lecturing contents of the speaker 1 by Kaldi ASR 9, usually more than 98% are correct. If the listener- typist 3 finds some. errors, the listener-typist 3 can correct it. The hearing impaired 5 can store the text caption 61 after the class, and the text caption 61 stored is the perfect edition amended by the listener-typist 3.
[0023] The scope of the present invention depends upon the following claims, and is not limited by the above embodiments.