Sentence Recognition – Meta-Guide.com

Notes:

Sentence recognition, also known as sentence classification or sentence labeling, is the process of automatically identifying the type or category of a given sentence. This is typically done using natural language processing (NLP) algorithms and techniques, such as machine learning (ML) or deep learning (DL).

Sentence recognition is an important task in NLP, as it is a necessary step for many other NLP applications, such as text summarization, machine translation, and sentiment analysis. By automatically classifying sentences, NLP systems can better understand the meaning and context of the text they are processing.

To perform sentence recognition, an NLP system typically first processes the input text to extract features that are relevant for the classification task. These features might include the words in the sentence, their part-of-speech tags, and the overall structure of the sentence. The system then uses these features to train a machine learning model that can predict the sentence type based on the input data.

Overall, sentence recognition is a key task in natural language processing, and it is essential for many NLP applications. It involves using NLP algorithms and techniques to automatically classify sentences based on their content and structure.

Sentence recognition in native-and foreign-language multi-talker background noise KJ Van Engen, AR Bradlow – The Journal of the Acoustical Society …, 2007 – scitation.aip.org Studies of speech perception in various types of background noise have shown that noise with linguistic content affects listeners differently than nonlinguistic noise [eg, Simpson, SA, and Cooke, M.(2005).“Consonant identification in N-talker babble is a nonmonotonic … Cited by 103 Related articles All 9 versions

Combined electric and contralateral acoustic hearing: Word and sentence recognition with bimodal hearing RH Gifford, MF Dorman, SA McKarns, AJ Spahr – Journal of Speech, …, 2007 – ASHA Purpose: The authors assessed whether (a) a full-insertion cochlear implant would provide a higher level of speech understanding than bilateral low-frequency acoustic hearing,(b) contralateral acoustic hearing would add to the speech understanding provided by the … Cited by 72 Related articles All 13 versions

Processes leading to confidence and accuracy in sentence recognition: A metamemory approach WF Brewer, C Sampaio – Memory, 2006 – Taylor & Francis We propose that memory confidence is based on the processes and products of the just- completed memory task, along with the participants’ metamemory beliefs about the relation of these processes and products to memory accuracy. We tested this metamemory … Cited by 34 Related articles All 6 versions

Rejection strategies for offline handwritten sentence recognition M Zimmermann, R Bertolami… – … Recognition, 2004. ICPR …, 2004 – ieeexplore.ieee.org Abstract This paper investigates three different rejection strategies for offline handwritten sentence recognition. The rejection strategies are implemented as a postprocessing step of a Hidden Markov Model based text recognition system and are based on confidence … Cited by 19 Related articles All 8 versions

A framework for sign language sentence recognition by commonsense context I Infantino, R Rizzo, S Gaglio – Systems, Man, and Cybernetics, …, 2007 – ieeexplore.ieee.org Abstract—This correspondence proposes a complete framework for sign language recognition that integrates a commonsense engine in order to deal with sentence recognition. The proposed system is based on a multilevel architecture that allows … Cited by 21 Related articles All 4 versions

Sentence recognition in noise: Variables in compilation and interpretation of tests M Theunissen, DW Swanepoel… – International journal of …, 2009 – informahealthcare.com Abstract Tests of sentence recognition in noise constitute an essential tool for the assessment of auditory abilities that are representative of everyday listening experiences. A number of recent articles have reported on the development of such tests, documenting … Cited by 25 Related articles All 12 versions

Statistical language models for on-line handwritten sentence recognition S Quiniou, E Anquetil… – Document Analysis and …, 2005 – ieeexplore.ieee.org Abstract This paper investigates the integration of a statistical language model into an on- line recognition system in order to improve word recognition in the context of handwritten sentences. Two kinds of models have been considered: n-gram and n-class models (with … Cited by 17 Related articles All 7 versions

Similarity and familiarity: Second language sentence recognition in first-and second-language multi-talker babble KJ Van Engen – Speech communication, 2010 – Elsevier The intelligibility of speech in noisy environments depends not only on the functionality of listeners’ peripheral auditory systems, but also on cognitive factors such as their language learning experience. Previous studies have shown, for example, that normal-hearing … Cited by 20 Related articles All 10 versions

Sentence recognition using artificial neural networks M Majewski, JM Zurada – Knowledge-Based Systems, 2008 – Elsevier The paper describes an application of artificial neural networks (ANN) for natural language text reasoning. The task of knowledge discovery in text from a database, represented with a database file consisting of sentences with similar meanings but different lexico- … Cited by 12 Related articles All 5 versions

Use of a confusion network to detect and correct errors in an on-line handwritten sentence recognition system S Quiniou, E Anquetil – Document Analysis and Recognition, …, 2007 – ieeexplore.ieee.org Abstract In this paper we investigate the integration of a confusion network into an on-line handwritten sentence recognition system. The word posterior probabilities from the confusion network are used as confidence scored to detect potential errors in the output … Cited by 11 Related articles All 9 versions

The role of unconscious memory errors in judgments of confidence for sentence recognition C Sampaio, WF Brewer – Memory & cognition, 2009 – Springer Abstract The present experiment tested the hypothesis that unconscious reconstructive memory processing can lead to the breakdown of the relationship between memory confidence and memory accuracy. Participants heard deceptive schema-inference … Cited by 10 Related articles All 8 versions

The effect of presentation level and compression characteristics on sentence recognition in modulated noise HL Olsen, Å Olofsson… – International journal of …, 2004 – informahealthcare.com Sumario Se investigó en dos experimentos el efecto de una compresiónde acción rápida sobre el reconocimiento dellenguaje con ruido totalmente modulado (FUM), ensujetos con una audición normal o alterada. Quisimosdeterminar la relación entre el beneficio de la … Cited by 10 Related articles All 6 versions

Sentence recognition from articulatory movements for silent speech interfaces J Wang, A Samal, JR Green… – Acoustics, Speech and …, 2012 – ieeexplore.ieee.org ABSTRACT Recent research has demonstrated the potential of using an articulation-based silent speech interface for command-and-control systems. Such an interface converts articulation to words that can then drive a text-to-speech synthesizer. In this paper, we … Cited by 8 Related articles All 3 versions

Word extraction associated with a confidence index for online handwritten sentence recognition S Quiniou, F Bouteruche, E Anquetil – International Journal of …, 2009 – World Scientific This paper presents a word extraction approach based on the use of a confidence index to limit the total number of segmentation hypotheses in order to further extend our online sentence recognition system to perform” on-the-fly” recognition. Our initial word extraction … Cited by 8 Related articles All 11 versions

New sentence recognition materials developed using a basic non-native English lexicon L Calandruccio, R Smiljanic – Journal of Speech, Language, and Hearing …, 2012 – ASHA Purpose: The objective of this project was to develop new sentence test materials drawing on a basic non-native English lexicon that could be used to test speech recognition for various listener populations. These materials have been designed to provide a test tool … Cited by 8 Related articles All 5 versions

A priori and a posteriori integration and combination of language models in an on-line handwritten sentence recognition system S Quiniou, E Anquetil – Proceedings of the International …, 2006 – hal.archives-ouvertes.fr Abstract This paper investigates the integration of different language models into an on-line sentence recognition system. The impact of n-gram and n-class (based on statistically and on morpho-syntactically classes) models, built on the Brown corpus, is compared in terms … Cited by 7 Related articles All 8 versions

Challenging the speech intelligibility index: macroscopic vs. microscopic prediction of sentence recognition in normal and hearing-impaired listeners. T Jürgens, S Fredelake, RM Meyer… – …, 2010 – 20.210-193-52.unknown.qala.com. … Abstract A “microscopic” model of phoneme recognition, which includes an auditory model and a simple speech recognizer, is adapted to model the recognition of single words within whole German sentences.“Microscopic” in terms of this model is defined twofold, first, as … Cited by 6 Related articles All 2 versions

A system for sign language sentence recognition based on common sense context I Infantino, R Rizzo, S Gaglio – Computer as a Tool, 2005. …, 2005 – ieeexplore.ieee.org The paper proposes a complete framework for sign language recognition that integrates common sense in order to deal with sentences. The proposed system is based on a cognitive architecture allows modeling and managing the knowledge of the recognition … Cited by 6 Related articles

Development, Reliability and Validity of PRESTO: A New High-Variability Sentence Recognition Test JL Gilbert, TN Tamati, DB Pisoni – Journal of the American …, 2013 – ncbi.nlm.nih.gov Background There is a pressing need for new clinically feasible speech recognition tests that are theoretically motivated, sensitive to individual differences, and access the core perceptual and neurocognitive processes used in speech perception. PRESTO ( … Cited by 6 Related articles All 7 versions

Sentence recognition in noise promoting or suppressing masking release by normal-hearing and cochlear-implant listeners BJ Kwon, TT Perry, CL Wilhelm… – The Journal of the …, 2012 – scitation.aip.org Normal-hearing (NH) listeners maintain robust speech understanding in modulated noise by “glimpsing” portions of speech from a partially masked waveform—a phenomenon known as masking release (MR). Cochlear implant (CI) users, however, generally lack such … Cited by 5 Related articles All 8 versions

Assessing multimodal spoken word-in-sentence recognition in children with normal hearing and children with cochlear implants RF Holt, KI Kirk, M Hay-McCutcheon – Journal of Speech, Language, and …, 2011 – ASHA Method: Two experiments were undertaken. In Experiment 1, the youngest age with which the multimodal sentence recognition materials could be used was evaluated. In Experiment 2, lexical difficulty and presentation modality effects were examined, along with test–retest … Cited by 6 Related articles All 10 versions

Sentence recognition using Hopfield neural network B Pandey, S Ranjan, A Shukla, R Tiwari – IJCSI, 2010 – ijcsi.org Abstract Communication in natural langua ges between computational systems and humans is an area that has attracted researchers for long. This type of communication can have wide ramification as such as ystem could find wide usage in several areas. Web-Browsing via … Cited by 4 Related articles All 7 versions

Contralateral suppression of transient otoacoustic emissions and sentence recognition in noise in young adults A Stuart, AK Butler – Journal of the American Academy of …, 2012 – ingentaconnect.com Background: One purported role of the medial olivocochlear (MOC) efferent system is to reduce the effects of masking noise. MOC system functioning can be evaluated noninvasively in humans through contralateral suppression of otoacoustic emissions. It … Cited by 3 Related articles All 4 versions

English sentence recognition in speech-shaped noise and multi-talker babble for English-, Chinese-, and Korean-native listeners SH Jin, C Liu – The Journal of the Acoustical Society of America, 2012 – scitation.aip.org This study aimed to investigate English sentence recognition in quiet and two types of maskers, multi-talker babble (MTB) and long-term speech-shaped noise (LTSSN), with varied signal-to-noise ratios, for English-, Chinese-, and Korean-native listeners. Results … Cited by 2 Related articles All 5 versions

Handling out-of-vocabulary words and recognition errors based on word linguistic context for handwritten sentence recognition S Quiniou, M Cheriet, E Anquetil – Document Analysis and …, 2009 – ieeexplore.ieee.org Abstract In this paper we investigate the use of linguistic information given by language models to deal with word recognition errors on handwritten sentences. We focus especially on errors due to out-of-vocabulary (OOV) words. First, word posterior probabilities are … Cited by 2 Related articles All 12 versions

The effects of selective consonant amplification on sentence recognition in noise by hearing-impaired listeners R Saripella, PC Loizou, L Thibodeau… – The Journal of the …, 2011 – scitation.aip.org Weak consonants (eg, stops) are more susceptible to noise than vowels, owing partially to their lower intensity. This raises the question whether hearing-impaired (HI) listeners are able to perceive (and utilize effectively) the high-frequency cues present in consonants. To … Cited by 2 Related articles All 9 versions

Sentence structure for dialog act recognition in Czech P Kral, C Cerisara, J Kleckova… – … , 2006. ICTTA’06. 2nd, 2006 – ieeexplore.ieee.org … The results are obtained with word class based tri- gram language model (see section 4.2). Sentence recognition accuracy is 39.78 % and word recognition accuracy is 83.36 %. Table 3 structure is the same as table 2. 6. Conclusions … Cited by 5 Related articles All 7 versions

A hybrid language model for handwritten Chinese sentence recognition Q He, S Chen, M Zhao, W Lin – … of the 2012 International Conference on …, 2012 – dl.acm.org Abstract In this paper, we propose a hybrid language model for handwritten Chinese sentence recognition. This hybrid model is integrated from several independent language models, each of which is trained from a distinct type of corpus and models specifically the … Cited by 1 Related articles

English Sentence Recognition Based on HMM and Clustering X Li, J Chen, Z Li – 2013 – file.scirp.org For English sentences with a large amount of feature data and complex pronunciation changes contrast to words, there are more problems existing in Hidden Markov Model (HMM), such as the computational complexity of the Viterbi algorithm and mixed Gaussian … Cited by 1 Related articles All 3 versions

Stochastic Modelling of Sentence Semantics in Speech Recognition W Kasprzak, P Przybysz – Computer Recognition Systems 4, 2011 – Springer … Abstract. A stochastic approach to spoken sentence recognition is proposed for the purpose of an automatic voice-based dialogue system. Three main tasks are distin- guished: word recognition, word chain filtering and sentence recognition. … Cited by 1 Related articles All 6 versions

English Sentence Recognition using Artificial Neural Network through Mouse-based Gestures F Parwej – arXiv preprint arXiv:1301.4659, 2013 – arxiv.org Abstract: Handwriting is one of the most important means of daily communication. Although the problem of handwriting recognition has been considered for more than 60 years there are still many open issues, especially in the task of unconstrained handwritten sentence … Cited by 1 Related articles All 7 versions

The development of an Afrikaans test for sentence recognition thresholds in noise M Theunissen, JJ Hanekom… – International journal of …, 2011 – informahealthcare.com Abstract Objective: The development of a valid and reliable Afrikaans test of sentence recognition thresholds in noise. Design: A collection of sentences was developed, rated for naturalness and grammatical complexity, and digitally recorded using a female speaker. … Cited by 1 Related articles All 8 versions

Sentence recognition in noise and perceived benefit of noise reduction on the receiver and transmitter sides of a BICROS hearing aid K Oeding, M Valente – Journal of the American Academy of …, 2013 – ingentaconnect.com Background: In the past, bilateral contralateral routing of signals (BICROS) amplification incorporated omnidirectional microphones on the transmitter and receiver sides and some models utilized noise reduction (NR) on the receiver side. Little research has examined … Cited by 1 Related articles All 5 versions

An examination of the effect of talker familiarity on the sentence recognition skills of cochlear implant users BA Barker – 2006 – ir.uiowa.edu Abstract Three experiments examined normal-hearing and cochlear-implant listeners’ abilities to perceive and use talker-specific information in the speech signal. In Experiment 1 voice similarity judgments were gathered from normal-hearing listeners to maximize … Cited by 1 Related articles All 4 versions

Development of an Afrikaans test for sentence recognition in noise M Theunissen – 2008 – repository.up.ac.za Speech audiometry is considered an essential tool in the assessment of hearing, not only to validate pure tone measurements, but also to indicate speech perception as a critical communicative function. The use of sentence material in the assessment of speech … Cited by 3 Related articles All 5 versions

Phoneme and sentence-level ensembles for speech recognition C Dimitrakakis, S Bengio – EURASIP Journal on Audio, …, 2011 – asmp.eurasipjournals.com Cited by 2 Related articles All 11 versions

Importance of low-frequency on understanding interrupted speech: Sentence recognition of hearing-impaired (HI) and normal-hearing (NH) listeners SH Jin, P Nelson – The Journal of the Acoustical Society of …, 2005 – scitation.aip.org In a recent study of HI listeners’ speech perception in noise (Jin and Nelson, 2004), two main factors, low?frequency audibility and auditory filter bandwidths, were highly related to amplified sentence recognition in modulated noise. Nine young adult listeners with … All 2 versions

PRESTO: Preliminary Findings with a New High-Variability Sentence Recognition Test in Patients with Cochlear Implants KF Faulkner, T Twiggs, DB Pisoni – iu.edu … Author contact info: katieff@indiana.edu PRESTO: Preliminary Findings with a New High-Variability Sentence Recognition Test in Patients with Cochlear Implants DEVAULT OTOLOGIC … PRESTO in Quiet (RAU) I. Sentence Recognition II. Working Memory Capacity III. … Related articles

Speech-in-noise perception for new sentence-recognition materials: Normative data for a diverse non-native listener population R Smiljanic, L Calandruccio… – The Journal of the …, 2011 – scitation.aip.org Even though the US population is becoming more diverse, there are no normalized sentence recognition tests for non-native English listeners. Recently, a large set of new test materials aimed at assessing speech recognition and hearing abilities for native and non- … All 2 versions

Effects of spatial localization on sentence recognition in noise T Nakagawa – The Journal of the Acoustical Society of America, 2012 – scitation.aip.org Speech recognition in noise improves when speech and noise are separated in space. Interaural level and time difference cues are used in spatial localization. Most people with hearing loss have better hearing in the low frequencies. Interaural cues for sound … All 2 versions

The Effects of Clues from Lip-reading on the Sentence Recognition in Normal People C Yu, W Feng, X Xin, Z Wulan… – Journal of Audiology and …, 2012 – en.cnki.com.cn Objective Watching video without sound, only sound without video and audio-visual combination are used to test the speech recognition scores in normal young people to illustrate the effects of lip-reading clues on the sentence recognition. Methods 27 young … Related articles

Auditory and visual biasing for sentence recognition in noise JJ Main, AE Carney – The Journal of the Acoustical Society of …, 2005 – scitation.aip.org Previous research [AE Carney et al., J. Acoust. Soc. Am. 106, 2270 (1999)] showed that listeners have a range of visual biasing when presented with stimuli that have conflicting auditory and visual cues (eg, visual/gi/and/auditory/bi/). Further, individuals with strong … All 2 versions

Sentence Recognition in the Presence of Competing Speech Messages Presented in Audiometric Booths with Reverberation Times of 0.4 and 0.6 Seconds K Abouchacra, J Koehnke, J Besing… – Archives of Acoustics, 2011 – degruyter.com Abstract This study examined whether differences in reverberation time (RT) between typical sound field test rooms used in audiology clinics have an effect on speech recognition in multi-talker environments. Separate groups of participants listened to target speech … Related articles All 7 versions

Role and relative contribution of temporal envelope and fine structure cues in sentence recognition by normal-hearing listeners F Apoux, SE Yoho, CL Youngdahl… – The Journal of the …, 2013 – scitation.aip.org The present study investigated the role and relative contribution of envelope and temporal fine structure (TFS) to sentence recognition in noise. Target and masker stimuli were added at five different signal-to-noise ratios (SNRs) and filtered into 30 contiguous frequency … Related articles All 4 versions

Sentence recognition in noise for English-, Chinese-, and Korean-native listeners. C Liu, SH Jin, CT Chen – The Journal of the Acoustical Society of …, 2011 – scitation.aip.org The present study aims to investigate the effects of background noise on English sentence recognition for English?native (EN), Chinese?native (CN), and Korean?native (KN) listeners. The hearing in Noise Test (HINT)[Nilsson et al.,(1994)] was used to measure the percent … All 2 versions

Psychometric functions of sentence recognition in amplitude-modulated noises Y Shen, N Manzano, VM Richards – The Journal of the Acoustical …, 2014 – scitation.aip.org Although it is known that listeners can take advantage of the fluctuations in the temporal envelopes of background noises to improve the recognition of target messages, the amount of benefit is difficult to compare across listeners and experimental conditions. One solution …

Expert System for Sentence Recognition B Pandey, A Shukla, R Tiwari – Advanced Computing, 2011 – Springer Abstract The problem of using natural languages as a medium of input to computational system has long intrigued and attracted researchers. This problem becomes especially acute for systems that have to deal with massive amount of data as inputs in the form of … Related articles All 3 versions

The effects of vowel identification training on sentence-level speech recognition C Richie – The Journal of the Acoustical Society of America, 2008 – scitation.aip.org … When vowel identification training was done under auditory?visual conditions with noise participants demonstrated modest improvements in sentence recognition, and when training was done under visual?only conditions participants failed to show improvements in sentence … All 2 versions

Chinese Standard Comparative Sentence Recognition and Extraction Research L Xing, L Liu – Proceedings of the International Conference on …, 2013 – Springer Abstract Information extraction is the first and foremost important task of Standard Knowledge Mining. The paper focuses on comparative sentence recognition and extraction. There are three steps, respectively Comparative Sentence Recognition, Technical Index … Related articles All 2 versions

Effective Comment Sentence Recognition for Feature-Based Opinion Mining H Song, B Yang, X Liu – Advanced Data Mining and Applications, 2013 – Springer Abstract Feature-based opinion mining aims to extract fine-grained comments in product features level from the product reviews. Previous work proposed a lot of statistics-based and model-based approaches. However, the extraction result is not satisfying when these … Related articles

Frequency band-importance functions for auditory and auditory-visual sentence recognition KW Grant, JGW Bentstein – The Journal of the Acoustical Society of …, 2007 – scitation.aip.org For consonant recognition, the frequency band?importance function (FBIF) for audio?alone (A) and auditory?visual (AV) speech recognition are significantly different. The relative importance of very low speech frequencies is greater for AV than for A conditions, whether … Related articles All 2 versions

Development of the non-native English sentence test for speech recognition. R Smiljanic, L Calandruccio – The Journal of the Acoustical Society …, 2010 – scitation.aip.org Though the US population is becoming more diverse, there are no normalized sentence recognition tests for non?native English listeners. … Though the US population is becoming more diverse, there are no normalized sentence recognition tests for non?native English listeners. … All 2 versions

The impact of speech rate on sentence recognition by elderly individuals AH Lessa, MJ Costa – Brazilian journal of otorhinolaryngology, 2013 – SciELO Brasil RESUMO A dificuldade da compreensão da fala, principalmente em situações de comunicação desfavoráveis, é queixa comum dos indivíduos idosos. OBJETIVO: Verificar as variáveis perda auditiva e velocidade de apresentação do estímulo verbal no … Related articles All 6 versions

Overlapping frequency coverage and simulated spatial cue effects on bimodal (electrical and acoustical) sentence recognition in noise T Green, A Faulkner, S Rosen – … Journal of the Acoustical Society of …, 2014 – scitation.aip.org Sentence recognition in 20-talker babble was measured in eight Nucleus cochlear implant (CI) users with contralateral residual acoustic hearing. Speech reception thresholds (SRTs) were measured both in standard configurations, with some frequency regions presented … Related articles All 3 versions

Sentence recognition as a function of the number of talkers in competing multi-talker babble K Van Engen, B Chandrasekaran – The Journal of the Acoustical …, 2012 – scitation.aip.org Multiple-talker babble is used in studies of speech perception and processing both as a tool for loading perceptual and cognitive tasks and for direct assessment of speech perception in noise. Single interfering talkers and babbles containing few talkers differ dramatically, … All 2 versions

Effect of multichannel digital signal processing on loudness comfort, sentence recognition, and sound quality KM Mispagel, M Valente – Journal of the American Academy of …, 2006 – ingentaconnect.com This study evaluated the effect of increasing the number of processing channels from 32-to 64-signal processing channels on subjects’ loudness comfort and satisfaction, sentence recognition, and sound quality of his or her own voice. Ten experienced hearing aid users … All 6 versions

Spoken Word Recognition Deficits in Mild Cognitive Impairment: Some Preliminary Findings Using a Sentence Repetition Task LM Grove, V Taler, DB Pisoni – iu.edu … A new measure of word recognition. Sound & Video Contractor, October 20, 28-33. Bell, TS, & Wilson, RH (2001). Sentence recognition materials based on frequency of word use and lexical confusability. Journal of the American Academy of Audiology, 12, 514-522. … Related articles

Benefits of Speech Tracking Training on Sentence Recognition, Tracking Rate, and Self-Assessed Communication Function in Adult Cochlear Implant Users CM Bernstein, MH Bakke, A Mazevski, P Blake-Rahter… – researchgate.net This study investigated 2 methods of Speech Tracking training, traditional and computer- assisted, for enhancing receptive communication skills in postlingually deafened adult cochlear implant users. Ten participants engaged in an 8 week auditory-only training … Related articles

Phoneme and Sentence-Level Ensembles for Speech Recognition D Christos, B Samy – … Journal on Audio, Speech, and Music …, 2011 – downloads.hindawi.com Page 1. Hindawi Publishing Corporation EURASIP Journal on Audio, Speech, and Music Processing Volume 2011, Article ID 426792, 17 pages doi:10.1155/2011/426792 Research Article Phoneme and Sentence-Level Ensembles for Speech Recognition … Related articles