speech recognition review

In this study, we aim to fill this gap by comparing the transcription capa- bilities of six different open-source ASR systems across six ...

aclanthology.org·3.7 MB

General-purpose speech recognition seems far away. Special- purpose speech recognition is severely limited. It would seem appropriate for people ...

www.ee.columbia.edu·3.1 MB

by T Feng · 2023 · Cited by 61 — In this review, we select popular speech applications, includ- ing automatic speech recognition (ASR), speech emotion recognition (SER), automatic speaker ...

sail.usc.edu·2.7 MB

Lost in Transcription: Identifying and Quantifying the Accuracy Biases of. Automatic Speech Recognition Systems Against Disfluent Speech.

aclanthology.org·1.8 MB

Handbook of Natural Language Processing used in human speech recognition. For example, to what extent may human listeners use mixed word or phrase ...

www.microsoft.com·1.7 MB

In most speech recognition tasks, human subjects produce one to two orders of magnitude less errors than machines. There is now increasing interest in.

arxiv.org·1.6 MB

SpeechExec Enterprise is an on-premise dictation and transcription solution, ideal for medium to large businesses supporting a wide range of speech-to-text.

www.dictation.philips.com·1.5 MB

2.3 Measuring transcription accuracy. Research in speech recognition typically uses the WER to measure the accuracy ... The Podcast Challenge: ...

arxiv.org·1.5 MB

This report highlights the crucial role of Automatic Speech Recognition (ASR) techniques in enhancing safety for air traffic control (ATC) in terminal ...

rosap.ntl.bts.gov·1.3 MB

BigHand Speech Recognition is easy to use, with simple training taking as little as 10 minutes and automatic transcription. Translation is instant, so busy ...

www.bighand.com·1012.8 KB

With the convolutional approach, we are able to achieve a 99%+ accuracy for spoken digit recognition on our test set. 1 Introduction. In today's society, ...

cs230.stanford.edu·991.0 KB

We find that while editing ASR output is significantly faster when the accuracy is high enough, editing latency quickly rises above the level at which workers ...

www.cs.cmu.edu·982.7 KB

The Information Technology Advisory Committee formed the Voice-to-Text Language. Services Outside the Courtroom Workstream to evaluate the ...

courts.ca.gov·871.1 KB

In this section, we mainly discuss studies applicable to voice- based text entry. The reader is directed elsewhere for a thor- ough review of ...

hci.stanford.edu·837.5 KB

Speech-to-text transcriptions through Automatic Speech Recognition. (ASR) systems pose an efficient way to make voice answers accessible to text ...

jkhoehne.eu·687.6 KB

We investigated whether ASR services produce transcriptions that are of equivalent quality to the significantly more expensive manual transcription services.

d-nb.info·564.7 KB

In this work, we evaluate the disfluency capabilities of two automatic speech recognition systems – Google ASR and Whis-.

www.isca-archive.org·472.9 KB

With rapid advances in speech recognition and analysis, voice input is being effectively used in more and more areas of application. Not only is it much faster.

dragon.nuance.com·466.0 KB

Some records are found to contain disclaimers to point out the problems with SRT that can result in a patient- safety event. One example of a disclaimer ...

digitalassets.jointcommission.org·321.0 KB

The purpose of this paper is to inform consumers about different types of speech recognition software. The following page has organized information about ...

www.specialtyansweringservice.net·311.4 KB