ReviewSensors (Basel, Switzerland)2021
Biosignal Sensors and Deep Learning-Based Speech Recognition: A Review.
Review in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
18 citing papers in PubMed.
- Voice Recognition for Periodontal Probing Medical Records under Korean-English Bilingual Conditions: A Feasibility Study.Healthcare informatics research · 2026Article
- Natural, small molecule aliphatics (cholesterol and hexadecyl palmitate) as dielectrics for low-voltage organic field effect transistors.Materials advances · 2026Article
- Federated high order tensor fusion for privacy preserving multimodal social media analysis.PloS one · 2026Article
- A Wearable Silent Text Input System Using EMG and Piezoelectric Sensors.Sensors (Basel, Switzerland) · 2025Article
- The Noor Project: fair transformer transfer learning for autism spectrum disorder recognition from speech.Frontiers in digital health · 2025Article
- Human exons and introns classification using pre-trained Resnet-50 and GoogleNet models and 13-layers CNN model.Journal, genetic engineering & biotechnology · 2024Article
- Wearable Systems for Unveiling Collective Intelligence in Clinical Settings.Sensors (Basel, Switzerland) · 2023Review
- A Wearable Assistant Device for the Hearing Impaired to Recognize Emergency Vehicle Sirens with Edge Computing.Sensors (Basel, Switzerland) · 2023Article
- Hopf physical reservoir computer for reconfigurable sound recognition.Scientific reports · 2023Article
- Force-induced ion generation in zwitterionic hydrogels for a sensitive silent-speech sensor.Nature communications · 2023Article
- Amplifying the dielectric constant of shellac by incorporating natural clays for organic field effect transistors (OFETs).Turkish journal of chemistry · 2023Article
- Causal speech enhancement using dynamical-weighted loss and attention encoder-decoder recurrent neural network.PloS one · 2023Article
- Tongue Contour Tracking and Segmentation in Lingual Ultrasound for Speech Recognition: A Review.Diagnostics (Basel, Switzerland) · 2022Review
- Measuring Biosignals with Single Circuit Boards.Bioengineering (Basel, Switzerland) · 2022Review
- Cutting-edge communication and learning assistive technologies for disabled children: An artificial intelligence perspective.Frontiers in artificial intelligence · 2022Review
- Using AAEHS-Net as an Attention-Based Auxiliary Extraction and Hybrid Subsampled Network for Semantic Segmentation.Computational intelligence and neuroscience · 2022Article
- Recognition of EEG Signals from Imagined Vowels Using Deep Learning Methods.Sensors (Basel, Switzerland) · 2021Article
- Recent advances in deep learning for lymphoma segmentation: Clinical applications and challenges.Digital healthReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
Voice is one of the essential mechanisms for communicating and expressing one's intentions as a human being. There are several causes of voice inability, including disease, accident, vocal abuse, medical surgery, ageing, and environmental pollution, and the risk of voice loss continues to increase. Novel approaches should have been developed for speech recognition and production because that would seriously undermine the quality of life and sometimes leads to isolation from society. In this review, we survey mouth interface technologies which are mouth-mounted devices for speech recognition, production, and volitional control, and the corresponding research to develop artificial mouth technologies based on various sensors, including electromyography (EMG), electroencephalography (EEG), electropalatography (EPG), electromagnetic articulography (EMA), permanent magnet articulography (PMA), gyros, images and 3-axial magnetic sensors, especially with deep learning techniques. We especially research various deep learning technologies related to voice recognition, including visual speech recognition, silent speech interface, and analyze its flow, and systematize them into a taxonomy. Finally, we discuss methods to solve the communication problems of people with disabilities in speaking and future research with respect to deep learning components.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.