Challenges and Limitations in Speech Recognition Technology: A Critical Review of Speech Signal Processing Algorithms, Tools and Systems

Basak, Sneha; Agrawal, Himanshi; Jena, Shreya; Gite, Shilpa; Bachute, Mrinal; Pradhan, Biswajeet; Assiri, Mazen E.

doi:10.32604/cmes.2022.021755

Cited by 14 publications

(4 citation statements)

References 106 publications

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“…In usual tests, the patient answers most of the questions orally to the examiner. We chose not to use speech recognition because of its limitations [29]. Incorrect speech interpretation would have led to false results.…”

Section: Discussionmentioning

confidence: 99%

Design of a New Digital Cognitive Screening Tool on Tablet: AlzVR Project

Maronnat,

Loup,

Degand

et al. 2024

Preprint

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Introduction: Alzheimer's disease (AD) is the first cause of dementia worldwide without any current curative treatment. Facing an increasing prevalence and its associated costs, AD represents a public health challenge. Usual diagnostic methods still rely on extended interviews and paper tests provided by an exterior examiner. We aim to create a novel, quick cognitive-screening tool on a numerical tablet. Methods: This program, built and edited with Unity®, runs on Android® for the Samsung Galaxy Tab S7 FE®. Composed of seven tasks inspired by the Mini-Mental Status Examination and the Montréal Cognitive Assessment, it browses several cognitive functions. The architectural design of this tablet application is distinguished by its multifaceted capabilities, encompassing not only seamless offline functionality but also a mechanism to ensure the singularity of data amalgamated from diverse sites. Additionally, a paramount emphasis is placed on safeguarding the confidentiality of patient information in the healthcare domain. Furthermore, the application empowers individual site managers to access and peruse specific datasets, enhancing their operational efficacy and decision-making processes. We performed a preliminary usability assessment among healthy subjects. Results: 24 healthy patients were included with a final F-SUS score of "excellent". Participants perceived the tool as simple to use and achieved the test in a mean time of 142 seconds. No technical errors occurred. Conclusion: These preliminary results suggest that our new assessment on a numerical tablet allows a short cognitive screening.

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Section: Discussionmentioning

confidence: 99%

Design of a New Digital Cognitive Screening Tool on Tablet: AlzVR Project

Maronnat,

Loup,

Degand

et al. 2024

Preprint

View full text Add to dashboard Cite

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“…"select", "place", "remove") . However, human speech signals vary across speakers, speaking styles, content, and uncertain environmental noises which leads to speech recognition systems with low accuracy and accessibility [6]. The most common solution consists of using virtual keyboards, which are easily supported by current MR frameworks and allow users to select letters, numbers or symbols that are transposed to the textual input.…”

Section: Body Contentmentioning

confidence: 99%

HandyNotes: using the hands to create semantic representations of contextually aware real-world objects

Quere,

Menin,

Julien

et al. 2024

2024 IEEE Conference Virtual Reality and 3D User Interfaces (VR)

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HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L'archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d'enseignement et de recherche français ou étrangers, des laboratoires publics ou privés.

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“…Various methods are used to extract the features of speech frames, such as Convolutional Layer, LSTM, Transformer [16], or build a graph in speech frames to get more detailed features [17]. Then the encoded speech frames can be used in many tasks, such as speech recognition [18] and direct speech translation [19].…”

Section: Related Workmentioning

confidence: 99%

A New Speech Encoder Based on Dynamic Framing Approach

Liu¹,

Yang²,

Zhou³

2023

Computer Modeling in Engineering &Amp; Sciences

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Latent information is difficult to get from the text in speech synthesis. Studies show that features from speech can get more information to help text encoding. In the field of speech encoding, a lot of work has been conducted on two aspects. The first aspect is to encode speech frame by frame. The second aspect is to encode the whole speech to a vector. But the scale in these aspects is fixed. So, encoding speech with an adjustable scale for more latent information is worthy of investigation. But current alignment approaches only support frame-by-frame encoding and speech-to-vector encoding. It remains a challenge to propose a new alignment approach to support adjustable scale speech encoding. This paper presents the dynamic speech encoder with a new alignment approach in conjunction with frame-by-frame encoding and speech-to-vector encoding. The speech feature from our model achieves three functions. First, the speech feature can reconstruct the origin speech while the length of the speech feature is equal to the text length. Second, our model can get text embedding from speech, and the encoded speech feature is similar to the text embedding result. Finally, it can transfer the style of synthesis speech and make it more similar to the given reference speech.

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Challenges and Limitations in Speech Recognition Technology: A Critical Review of Speech Signal Processing Algorithms, Tools and Systems

Cited by 14 publications

References 106 publications

Design of a New Digital Cognitive Screening Tool on Tablet: AlzVR Project

Design of a New Digital Cognitive Screening Tool on Tablet: AlzVR Project

HandyNotes: using the hands to create semantic representations of contextually aware real-world objects

A New Speech Encoder Based on Dynamic Framing Approach

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