Robust speech recognition in the presence of noise using medical data

Athanaselis, Theologos; Bakamidis, Stelios; Giannopoulos, Georgios; Dologlou, Ioannis; Fotinea, Stavroula–Evita

doi:10.1109/ist.2008.4659999

Cited by 9 publications

(2 citation statements)

References 10 publications

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“…Information conveyed by the society is in the form of spoken sentences (audio). Then, the audio input would be converted into texts by using speech recognition [24,25]. The output produced from speech recognition process are sentences (texts).…”

Section: Speech Recognitionmentioning

confidence: 99%

A new technology on translating Indonesian spoken language into Indonesian sign language system

Ramadhani

Putra

Sudarma

et al. 2021

IJECE

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People with hearing disabilities are those who are unable to hear, resulted in their disability to communicate using spoken language. The solution offered in this research is by creating a one way translation technology to interpret spoken language to Indonesian sign language system (SIBI). The mechanism applied here is by catching the sentences (audio) spoken by common society to be converted to texts, by using speech recognition. The texts are then processed in text processing to select the input texts. The next stage is stemming the texts into prefixes, basic words, and suffixes. Each words are then being indexed and matched to SIBI. Afterwards, the system will arrange the words into SIBI sentences based on the original sentences, so that the people with hearing disabilities can get the information contained within the spoken language. This technology success rate were tested using Confusion Matrix, which resulted in precision value of 76%, accuracy value of 78%, and recall value of 79%. This technology has been tested in SMP-LB Karya Mulya on the 7th grader students with the total of 9 students. From the test, it is obtained that 86% of students stated that this technology runs very well.

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Section: Speech Recognitionmentioning

confidence: 99%

A new technology on translating Indonesian spoken language into Indonesian sign language system

Ramadhani

Putra

Sudarma

et al. 2021

IJECE

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“…The focus of the proposed study made by T. Athanaselis, et. al [8] is to improve the speech recognition in the presence of noise when a parametric method of signal enhancement is used. M. Hawley, et.…”

Section: Introductionmentioning

confidence: 99%

ECHO: Hands-Free Computer Interaction using Speech Recognition System for the Debilitated

Matel¹,

Aquines²,

Guzman³

et al. 2019

IJRTE

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Computer nowadays is a must-have tool for most people. However, it is not a tool to be used by people with physical disabilities, especially the ones lacking an arm or two. The goal of this paper is to introduce a system that will help computer users perform tasks and make use of computer features and functions despite their physical limitations through the Speech Recognition System (SRS) in the English language. Ideally, this aims to provide users with an alternative way of interacting with the computer system and navigate through its functions using SRS in place of peripheral devices. It can be used to navigate through menus, open and manage applications, open certain websites, browse the internet, and type words, letters, numbers, and symbols using the dictation mode. For the testing phase, the following test cases were used: Functionality Testing, Stress Testing, and Compatibility. The testing phase yielded a result of 94.79% for the functional, 100% for stress, and 100% for compatibility, effectively ensuring that the software is working as intended. The evaluation results conforming to the standards of the ISO/IEC 9126-1 yielded a mean of 3.57 with a standard deviation of 0.52 interpreted as ‘Highly Acceptable', which means that the software can be used as an effective alternative to peripheral devices and can even be used to complement its usage.

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Multi-feature deep supervised voiceprint adversarial network for depression recognition from speech

Pan,

Shang,

Wang

et al. 2024

Biomedical Signal Processing and Control

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Robust speech recognition in the presence of noise using medical data

Cited by 9 publications

References 10 publications

A new technology on translating Indonesian spoken language into Indonesian sign language system

A new technology on translating Indonesian spoken language into Indonesian sign language system

ECHO: Hands-Free Computer Interaction using Speech Recognition System for the Debilitated

Multi-feature deep supervised voiceprint adversarial network for depression recognition from speech

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