The Evaluation Process Automation of Phrase and Word Intelligibility Using Speech Recognition Systems

Kostuchenko, Evgeny; Novokhrestova, Dariya; Tirskaya, Marina; Shelupanov, Alexander; Немирович-Данченко, М М; Choynzonov, E. L.; Balatskaya, L. N.

doi:10.1007/978-3-030-26061-3_25

Cited by 16 publications

(3 citation statements)

References 7 publications

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“…The project consists in a transcription-chain (Tchain), firstly defined in (van Hessen et al, 2020), that differs in two main aspects: (a) in FONTI 4.0, the transcription obtained with speech-totext (STT) algorithms should not be corrected by human; (b) an additional restoration step could be required for digitized audio recordings. Furthermore, differently from STT evaluation experiments conducted by (Moore et al, 2019;Kostuchenko et al, 2019;Filippidou and Moussiades, 2020), we decided to employ two commercial software, namely Google Cloud Platform and Amazon Web Services, to test their ability to transcribe historical analog recordings, and to eventually include in our pipeline.…”

Section: Discussionmentioning

confidence: 99%

PROTECT – A Pipeline for Propaganda Detection and Classification

Vorakitphan¹,

Cabrio²,

Villata³

2022

Proceedings of the Eighth Italian Conference on Computational Linguistics CliC-it 2021

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The eighth edition of the Italian Conference on Computational Linguistics (CLiC-it 2021) was held at Università degli Studi di Milano-Bicocca from 26th to 28th January 2022.After the edition of 2020, which was held in fully virtual mode due to the health emergency related to Covid-19, CLiC-it 2021 represented the first moment for the Italian research community of Computational Linguistics to meet in person after more than one year of full/partial lockdown. Although the conference was held in dual mode, we strongly suggested the participants to attend it coming to Milan. Indeed, we received a strong feedback on this aspect from the community, which was eager to meet in person and enjoy both the scientific and social events together with the colleagues. In total, 99 participants registered to the conference benefiting from the early registration fee, 91 out of which expressed their intention to attend the event in person, which we consider as a very positive indication of enthusiasm from the community, given the uncertain situation due to the evolution of the pandemic in Italy.In total, we received 68 proposals, organized in the following specific tracks: Information Extraction,

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Section: Discussionmentioning

confidence: 99%

PROTECT – A Pipeline for Propaganda Detection and Classification

Vorakitphan¹,

Cabrio²,

Villata³

2022

Proceedings of the Eighth Italian Conference on Computational Linguistics CliC-it 2021

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“…Further modernization of the software package involves the use of speech recognition and analysis systems [13][14][15][16][17][18][19] to assess syllabic, verbal and phrasal intelligibility. To ensure the security of stored information, it is planned to develop a cryptographic protection module that would not interfere with obtaining real-time ratings [20].…”

Section: Discussionmentioning

confidence: 99%

Automation of Speech Quality Assessment in Speech Rehabilitation

Novokhrestova¹,

Radioelectronics²

2019

IJATCSE

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“…In the second category, many assessment methods have been developed with input from our team. It is possible to distinguish assessment approaches based on the normalization of signals and their subsequent comparison [4,5] and the use of recognition tools for assessment as a substitute for an expert in the GOST method [6,7]. However, the limited number of assessment methods and their incomplete coincidence with the GOST reference method in terms of the accuracy of the esti-mates obtained and their interpretability, suggests the relevance of the search for new approaches to obtaining such estimates.…”

Section: Existing Approaches To Assessing Speech Qualitymentioning

confidence: 99%

Assessment of Speech Quality during Speech Rehabilitation Based on the Solution of the Classification Problem

Kostyuchenko¹,

Rakhmanenko²,

Shelupanov³

et al. 2021

Preprint

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The article considers an approach to the problem of assessing the quality of speech during speech rehabilitation as a classification problem. For this, a classifier is built on the basis of an LSTM neural network for dividing speech signals into two classes: before the operation and immediately after. At the same time, speech before the operation is the standard to which it is necessary to approach in the process of rehabilitation. The metric of belonging of the evaluated signal to the reference class acts as an assessment of speech. An experimental assessment of rehabilitation sessions and a comparison of the resulting assessments with expert assessments of phrasal intelligibility were carried out.

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The Evaluation Process Automation of Phrase and Word Intelligibility Using Speech Recognition Systems

Cited by 16 publications

References 7 publications

PROTECT – A Pipeline for Propaganda Detection and Classification

PROTECT – A Pipeline for Propaganda Detection and Classification

Automation of Speech Quality Assessment in Speech Rehabilitation

Assessment of Speech Quality during Speech Rehabilitation Based on the Solution of the Classification Problem

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