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Computational intelligence in processing of speech acoustics: a survey

Amitoj Singh, Navkiran Kaur, Vinay Kukreja, Virender Kadyan, Munish Kumar
2022 Complex & Intelligent Systems  
This paper presents a comprehensive survey on the speech recognition techniques for non-Indian and Indian languages, and compiled some of the computational models used for processing speech acoustics.  ...  However, a limited number of automatic speech recognition systems are available for commercial use.  ...  Either existing Continuous Density Hidden Markov Models (CDHMMs) were trained with the help of forward-backward or Viterbi pseudocodes which presented reduced discriminative efficiency among several other  ... 
doi:10.1007/s40747-022-00665-1 fatcat:6pu2xccbq5as7bn2y2tav2fdwa

Handwritten Optical Character Recognition (OCR): A Comprehensive Systematic Literature Review (SLR) [article]

Jamshed Memon, Maira Sami, Rizwan Ahmed Khan
2020 arXiv   pre-print
We followed widely used electronic databases by following pre-defined review protocol.  ...  Articles were searched using keywords, forward reference searching and backward reference searching in order to search all the articles related to the topic.  ...  Hidden Markov Model (HMM) was one the most frequently used parametric statistical method earlier in 2000.  ... 
arXiv:2001.00139v1 fatcat:p3rdutz35besxfxf7suozt7r2u

Discrimination Between Native and Non-Native Speech Using Visual Features Only

Christos Georgakis, Stavros Petridis, Maja Pantic
2016 IEEE Transactions on Cybernetics  
We present here a fully automated approach to discriminating native from non-native English speech, based exclusively on visual cues.  ...  High performance is achieved on a text-dependent protocol, with the best score of 76.5% yielded by fusion of five HMMs trained on appearance features.  ...  with Hidden Markov Models (HMMs) [16] .  ... 
doi:10.1109/tcyb.2015.2488592 pmid:26513822 fatcat:vwyq6zk7r5cqtbvz4pngoclfam

Handwritten Optical Character Recognition (OCR): A Comprehensive Systematic Literature Review (SLR)

Jamshed Memon, Maira Sami, Rizwan Ahmed Khan, Mueen Uddin
2020 IEEE Access  
We followed widely used electronic databases by following pre-defined review protocol.  ...  Articles were searched using keywords, forward reference searching and backward reference searching in order to search all the articles related to the topic.  ...  Hidden Markov Model (HMM) was one of the most frequently used parametric statistical method earlier in 2000.  ... 
doi:10.1109/access.2020.3012542 fatcat:f5bfni5kbfhf3i63lvv3t6pena

Deep Learning: Methods and Applications

Li Deng
2014 Foundations and Trends® in Signal Processing  
The standard statistical methods used for large-scale speech recognition and understanding combine (shallow) hidden Markov models for speech acoustics with higher layers of structure representing different  ...  Further, learning Chinese characters is accelerated by first pre-training a CNN on a small subset of all classes and then continuing to train on all classes.  ... 
doi:10.1561/2000000039 fatcat:vucffxhse5gfhgvt5zphgshjy4

Online Signature Verification: State of the art

Ibrahim El-Henawy, Magdy Rashad, Omima Nomir, Kareem Ahmed
2005 INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY  
We concentrate on the relationship between the verification approach used (the nature of the classifier) and the type of features that are used to represent the signature.  ...  online or Dynamic signature verification (DSV) is one of the most acceptable, intuitive, fast and cost effective tool for user authentication.  ...  Daw-Tung Lin and Yu-Chia Lia [128] presented a DSV system using Hidden Semi-Markov Model (HSMM).  ... 
doi:10.24297/ijct.v4i2c2.4872 fatcat:xln3pkyrdjbptelwuaq2ohteye

Statistical modeling of infant‐directed versus adult‐directed speech: Insights from speech recognition

Katrin Kirchhoff, Steven Schimmel
2003 Journal of the Acoustical Society of America  
Isolated-word speech recognizers were trained on adult-directed vs. infant-directed data sets and were tested on both matched and mismatched data.  ...  It has been suggested that the use of infant-directed data for training automatic speech recognition systems might also enhance the automatic learning and discrimination of phonetic categories.  ...  The classification of acoustic feature vectors is typically performed by hidden Markov models ͑HMMs͒. An HMM consists of a set of states Sϭs 1 ,s 2 ,...  ... 
doi:10.1121/1.4779382 fatcat:s3oyny34tfg4xhbhnezxlmuupi

Statistical properties of infant-directed versus adult-directed speech: Insights from speech recognition

Katrin Kirchhoff, Steven Schimmel
2005 Journal of the Acoustical Society of America  
Isolated-word speech recognizers were trained on adult-directed vs. infant-directed data sets and were tested on both matched and mismatched data.  ...  It has been suggested that the use of infant-directed data for training automatic speech recognition systems might also enhance the automatic learning and discrimination of phonetic categories.  ...  The classification of acoustic feature vectors is typically performed by hidden Markov models ͑HMMs͒. An HMM consists of a set of states Sϭs 1 ,s 2 ,...  ... 
doi:10.1121/1.1869172 pmid:15898664 fatcat:5y5bjbvcurcafext2k6bee7jmq

An overview of character recognition focused on off-line handwriting

N. Arica, F.T. Yarman-Vural
2001 IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews)  
Now, the rapidly growing computational power enables the implementation of the present CR methodologies and also creates an increasing demand on many emerging application domains, which require more advanced  ...  This approach can be divided into two categories; Hidden Markov Model Based approaches and Non-Markov based approaches.  ...  Hidden Markov Modeling (HMM): Hidden Markov Models are the most widely and successfully used technique for handwritten character recognition problem [129] , [130] , [96] , [29] , [30] .  ... 
doi:10.1109/5326.941845 fatcat:jb3bjig3p5abtmgjz3bowuhdfu

Finding Structure in Text, Genome and Other Symbolic Sequences [article]

Ted Dunning
2012 arXiv   pre-print
Furthermore, the techniques described in this thesis can be extended to provide a wide range of additional tests beyond the ones described here.  ...  The hidden Markov model is used extensively in speech recognition. Hidden Markov models are described in section 1.4.  ...  The classification method used depends on producing a Markov model from the training data for each category.  ... 
arXiv:1207.1847v1 fatcat:atx6naydzjbzrcrfrbnyn4uqcu

D2.2 Implementations of methods adapted to enhanced human inputs

Doukhan, Francis, Harrando, Huet, Kaseva, Kurimo, Laaksonen, Lindh-Knuutila, Lisena, Pehlivan Tort, Reboud, Rouhe (+2 others)
2020 Zenodo  
Based on the methods' primary input domain, they have been grouped as visual (facial person recognition, facial gender classification and video description), auditory (speech and gender segmentation, speech  ...  recognition and speaker identification and diarisation) and multimodal (audio-enhanced captioning, visual–auditory gender classification, person re-identification and multimodal speech recognition) approaches  ...  We follow the standard protocol provided by the authors [23] by using 80 images per scene category for training and another 20 images for testing.  ... 
doi:10.5281/zenodo.4964298 fatcat:6bbqa7q3xrctnm6nrf5fxh7f3q

Sentiment analysis algorithms and applications: A survey

Walaa Medhat, Ahmed Hassan, Hoda Korashy
2014 Ain Shams Engineering Journal  
There are other statistical approaches which could be used in FS like Hidden Markov Model (HMM) and Latent Dirichlet Allocation (LDA).  ...  It is used to enhance many Text mining tasks like text classification [107] , sentiment analysis [108] , Named Entity recognition [109] , part-of-speech tagging [110] , . . . etc.  ... 
doi:10.1016/j.asej.2014.04.011 fatcat:ajcv3q7t4zct3cfeg2iex6lnui

Transcript mapping for handwritten Chinese documents by integrating character recognition model and geometric context

Fei Yin, Qiu-Feng Wang, Cheng-Lin Liu
2013 Pattern Recognition  
The tool based on the proposed approach has been practically used for labeling handwritten Chinese documents.  ...  This paper describes an effective recognition-based annotation approach for ground-truthing handwritten Chinese documents.  ...  Acknowledgment The authors would like to thank Tonghua Su for authorizing us to use the HIT-MW database.  ... 
doi:10.1016/j.patcog.2013.03.013 fatcat:loztug3py5g6nosf6r42le7aya

Neural Information Retrieval: A Literature Review [article]

Ye Zhang, Md Mustafizur Rahman, Alex Braylan, Brandon Dang, Heng-Lu Chang, Henna Kim, Quinten McNamara, Aaron Angert, Edward Banner, Vivek Khetan, Tyler McDonnell, An Thanh Nguyen (+3 others)
2017 arXiv   pre-print
In this work, we survey the current landscape of Neural IR research, paying special attention to the use of learned representations of queries and documents (i.e., neural embeddings).  ...  A recent "third wave" of Neural Network (NN) approaches now delivers state-of-the-art performance in many machine learning tasks, spanning speech recognition, computer vision, and natural language processing  ...  They rank the answer sentences based on the predicted score and calculate MAP and MRR.  ... 
arXiv:1611.06792v3 fatcat:i2eqfj5l25epjcytgvifta4y4i

Automatic Language Identification in Texts: A Survey

Tommi Jauhiainen, Marco Lui, Marcos Zampieri, Timothy Baldwin, Krister Lindén
2019 The Journal of Artificial Intelligence Research  
Finally, we identify open issues, survey the work to date on each issue, and propose future directions for research in LI.  ...  We describe the features and methods using a unified notation, to make the relationships between methods clearer.  ...  Rosner and Farrugia (2007) used Markovian word n-grams with a Hidden Markov Model ("HMM") tagger (Section 6.10).  ... 
doi:10.1613/jair.1.11675 fatcat:axugpuogyne3nptvamgd3zwgty
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