Download or read book Extraction of Prosody for Automatic Speaker Language Emotion and Speech Recognition written by Leena Mary and published by Springer. This book was released on 2018-08-02 with total page 62 pages. Available in PDF, EPUB and Kindle. Book excerpt: This updated book expands upon prosody for recognition applications of speech processing. It includes importance of prosody for speech processing applications; builds on why prosody needs to be incorporated in speech processing applications; and presents methods for extraction and representation of prosody for applications such as speaker recognition, language recognition and speech recognition. The updated book also includes information on the significance of prosody for emotion recognition and various prosody-based approaches for automatic emotion recognition from speech.
Download or read book Extraction and Representation of Prosody for Speaker Speech and Language Recognition written by Leena Mary and published by Springer. This book was released on 2011-10-20 with total page 61 pages. Available in PDF, EPUB and Kindle. Book excerpt: Extraction and Representation of Prosodic Features for Speech Processing Applications deals with prosody from speech processing point of view with topics including: The significance of prosody for speech processing applications Why prosody need to be incorporated in speech processing applications Different methods for extraction and representation of prosody for applications such as speech synthesis, speaker recognition, language recognition and speech recognition This book is for researchers and students at the graduate level.
Download or read book Speech Recognition written by France Mihelič and published by BoD – Books on Demand. This book was released on 2008-11-01 with total page 580 pages. Available in PDF, EPUB and Kindle. Book excerpt: Chapters in the first part of the book cover all the essential speech processing techniques for building robust, automatic speech recognition systems: the representation for speech signals and the methods for speech-features extraction, acoustic and language modeling, efficient algorithms for searching the hypothesis space, and multimodal approaches to speech recognition. The last part of the book is devoted to other speech processing applications that can use the information from automatic speech recognition for speaker identification and tracking, for prosody modeling in emotion-detection systems and in other speech processing applications that are able to operate in real-world environments, like mobile communication services and smart homes.
Download or read book Computational Paralinguistics written by Björn Schuller and published by John Wiley & Sons. This book was released on 2013-09-17 with total page 330 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the methods, tools and techniques that are currently being used to recognise (automatically) the affect, emotion, personality and everything else beyond linguistics (‘paralinguistics’) expressed by or embedded in human speech and language. It is the first book to provide such a systematic survey of paralinguistics in speech and language processing. The technology described has evolved mainly from automatic speech and speaker recognition and processing, but also takes into account recent developments within speech signal processing, machine intelligence and data mining. Moreover, the book offers a hands-on approach by integrating actual data sets, software, and open-source utilities which will make the book invaluable as a teaching tool and similarly useful for those professionals already in the field. Key features: Provides an integrated presentation of basic research (in phonetics/linguistics and humanities) with state-of-the-art engineering approaches for speech signal processing and machine intelligence. Explains the history and state of the art of all of the sub-fields which contribute to the topic of computational paralinguistics. C overs the signal processing and machine learning aspects of the actual computational modelling of emotion and personality and explains the detection process from corpus collection to feature extraction and from model testing to system integration. Details aspects of real-world system integration including distribution, weakly supervised learning and confidence measures. Outlines machine learning approaches including static, dynamic and context‐sensitive algorithms for classification and regression. Includes a tutorial on freely available toolkits, such as the open-source ‘openEAR’ toolkit for emotion and affect recognition co-developed by one of the authors, and a listing of standard databases and feature sets used in the field to allow for immediate experimentation enabling the reader to build an emotion detection model on an existing corpus.
Download or read book Recognition of Paralinguistic Information Using Prosodic Features Related to Intonation and Voice Quality written by Carlos T. Ishi and published by . This book was released on 2008 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: We proposed and evaluated intonation and voice quality-related prosodic features for automatic recognition of paralinguistic information (intentions, attitudes and emotions) in dialogue speech. We showed that intonation-based prosodic features were effective to discriminate paralinguistic information items expressing some intentions or speech acts, such as affirm, deny, thinking, and ask for repetition, while voice quality features were effective for identifying part of paralinguistic information items expressing some emotion or attitude, such as surprised, disgusted and admired. Among the voice qualities, the detection of pressed voices were useful to identify disgusted or embarrassed (for "e", "un"), and admiration (for "he"), while the detection of harsh/whispery voices were useful to identify surprised/unexpected or suspicious/disgusted/blame/dissatisfied. Improvements in the detection of voice qualities (harshness, pressed voice in nasalized voices, and syllable offset aspiration noise) can still improve the detection rate of paralinguistic information items expressing emotions/attitudes. Future works will involve improvement of voice quality detection, investigations about how to deal with context information, and evaluation in a human-robot interaction scenario.
Download or read book Emotion Recognition using Speech Features written by K. Sreenivasa Rao and published by Springer Science & Business Media. This book was released on 2012-11-07 with total page 134 pages. Available in PDF, EPUB and Kindle. Book excerpt: “Emotion Recognition Using Speech Features” provides coverage of emotion-specific features present in speech. The author also discusses suitable models for capturing emotion-specific information for distinguishing different emotions. The content of this book is important for designing and developing natural and sophisticated speech systems. In this Brief, Drs. Rao and Koolagudi lead a discussion of how emotion-specific information is embedded in speech and how to acquire emotion-specific knowledge using appropriate statistical models. Additionally, the authors provide information about exploiting multiple evidences derived from various features and models. The acquired emotion-specific knowledge is useful for synthesizing emotions. Features includes discussion of: • Global and local prosodic features at syllable, word and phrase levels, helpful for capturing emotion-discriminative information; • Exploiting complementary evidences obtained from excitation sources, vocal tract systems and prosodic features in order to enhance the emotion recognition performance; • Proposed multi-stage and hybrid models for improving the emotion recognition performance. This brief is for researchers working in areas related to speech-based products such as mobile phone manufacturing companies, automobile companies, and entertainment products as well as researchers involved in basic and applied speech processing research.
Download or read book Speech Recognition written by France Mihelič and published by IntechOpen. This book was released on 2008-11-01 with total page 578 pages. Available in PDF, EPUB and Kindle. Book excerpt: Chapters in the first part of the book cover all the essential speech processing techniques for building robust, automatic speech recognition systems: the representation for speech signals and the methods for speech-features extraction, acoustic and language modeling, efficient algorithms for searching the hypothesis space, and multimodal approaches to speech recognition. The last part of the book is devoted to other speech processing applications that can use the information from automatic speech recognition for speaker identification and tracking, for prosody modeling in emotion-detection systems and in other speech processing applications that are able to operate in real-world environments, like mobile communication services and smart homes.
Download or read book Recent Trends in Computational Intelligence written by Ali Sadollah and published by BoD – Books on Demand. This book was released on 2020-05-06 with total page 200 pages. Available in PDF, EPUB and Kindle. Book excerpt: Traditional models struggle to cope with complexity, noise, and the existence of a changing environment, while Computational Intelligence (CI) offers solutions to complicated problems as well as reverse problems. The main feature of CI is adaptability, spanning the fields of machine learning and computational neuroscience. CI also comprises biologically-inspired technologies such as the intellect of swarm as part of evolutionary computation and encompassing wider areas such as image processing, data collection, and natural language processing. This book aims to discuss the usage of CI for optimal solving of various applications proving its wide reach and relevance. Bounding of optimization methods and data mining strategies make a strong and reliable prediction tool for handling real-life applications.
Download or read book Psychological Motivated Multi Stage Emotion Classification Exploiting Voice Quality Features written by Marko Lugger and published by . This book was released on 2008 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: 5.1 Conclusion In this study, we presented a novel approach of speaker independent emotion classification. We used a large set of voice quality parameters in addition to standard prosodic features. Altogether we extracted 346 acoustic features from the speech utterances. In all classification studies, we used the SFFS algorithm to reduce the feature number to 25. In a first study, we could show that our voice quality parameters outperform the well known mel frequency cepstral coefficients in the application of speaker independent emotion recognition. Thus, a combined feature set of prosodic and voice quality features led to the best recognition result using an 1-stage classification. Using MFCC and VQP in addition to prosodic features brought no further improvement in classification performance. We further compared a flat 1-stage classification of 6 emotions with a 2-stage respectively 3-stage hierarchical classification approach using only prosodic and a combined feature set. A summary of all the results using the best 25 features is shown in Table 12.
Download or read book Extraction and Representation of Prosody for Speaker Speech and Language Recognition written by Leena Mary and published by Springer Science & Business Media. This book was released on 2011-10-17 with total page 70 pages. Available in PDF, EPUB and Kindle. Book excerpt: Extraction and Representation of Prosodic Features for Speech Processing Applications deals with prosody from speech processing point of view with topics including: The significance of prosody for speech processing applications Why prosody need to be incorporated in speech processing applications Different methods for extraction and representation of prosody for applications such as speech synthesis, speaker recognition, language recognition and speech recognition This book is for researchers and students at the graduate level.
Download or read book Emotion Affect and Personality in Speech written by Swati Johar and published by Springer. This book was released on 2015-12-22 with total page 54 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explores the various categories of speech variation and works to draw a line between linguistic and paralinguistic phenomenon of speech. Paralinguistic contrast is crucial to human speech but has proven to be one of the most difficult tasks in speech systems. In the quest for solutions to speech technology and sciences, this book narrows down the gap between speech technologists and phoneticians and emphasizes the imperative efforts required to accomplish the goal of paralinguistic control in speech technology applications and the acute need for a multidisciplinary categorization system. This interdisciplinary work on paralanguage will not only serve as a source of information but also a theoretical model for linguists, sociologists, psychologists, phoneticians and speech researchers.
Download or read book HCI in Business Government and Organizations written by Fiona Fui-Hoon Nah and published by Springer Nature. This book was released on with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Analyzing Emotion in Spontaneous Speech written by Rupayan Chakraborty and published by Springer. This book was released on 2018-01-23 with total page 91 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book captures the current challenges in automatic recognition of emotion in spontaneous speech and makes an effort to explain, elaborate, and propose possible solutions. Intelligent human–computer interaction (iHCI) systems thrive on several technologies like automatic speech recognition (ASR); speaker identification; language identification; image and video recognition; affect/mood/emotion analysis; and recognition, to name a few. Given the importance of spontaneity in any human–machine conversational speech, reliable recognition of emotion from naturally spoken spontaneous speech is crucial. While emotions, when explicitly demonstrated by an actor, are easy for a machine to recognize, the same is not true in the case of day-to-day, naturally spoken spontaneous speech. The book explores several reasons behind this, but one of the main reasons for this is that people, especially non-actors, do not explicitly demonstrate their emotion when they speak, thus making it difficult for machines to distinguish one emotion from another that is embedded in their spoken speech. This short book, based on some of authors’ previously published books, in the area of audio emotion analysis, identifies the practical challenges in analysing emotions in spontaneous speech and puts forward several possible solutions that can assist in robustly determining the emotions expressed in spontaneous speech.
Download or read book Law and Artificial Intelligence written by Bart Custers and published by Springer Nature. This book was released on 2022-07-05 with total page 566 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an in-depth overview of what is currently happening in the field of Law and Artificial Intelligence (AI). From deep fakes and disinformation to killer robots, surgical robots, and AI lawmaking, the many and varied contributors to this volume discuss how AI could and should be regulated in the areas of public law, including constitutional law, human rights law, criminal law, and tax law, as well as areas of private law, including liability law, competition law, and consumer law. Aimed at an audience without a background in technology, this book covers how AI changes these areas of law as well as legal practice itself. This scholarship should prove of value to academics in several disciplines (e.g., law, ethics, sociology, politics, and public administration) and those who may find themselves confronted with AI in the course of their work, particularly people working within the legal domain (e.g., lawyers, judges, law enforcement officers, public prosecutors, lawmakers, and policy advisors). Bart Custers is Professor of Law and Data Science at eLaw - Center for Law and Digital Technologies at Leiden University in the Netherlands. Eduard Fosch-Villaronga is Assistant Professor at eLaw - Center for Law and Digital Technologies at Leiden University in the Netherlands.
Download or read book The Democratization of Artificial Intelligence written by Andreas Sudmann and published by transcript Verlag. This book was released on 2019-10-31 with total page 335 pages. Available in PDF, EPUB and Kindle. Book excerpt: After a long time of neglect, Artificial Intelligence is once again at the center of most of our political, economic, and socio-cultural debates. Recent advances in the field of Artifical Neural Networks have led to a renaissance of dystopian and utopian speculations on an AI-rendered future. Algorithmic technologies are deployed for identifying potential terrorists through vast surveillance networks, for producing sentencing guidelines and recidivism risk profiles in criminal justice systems, for demographic and psychographic targeting of bodies for advertising or propaganda, and more generally for automating the analysis of language, text, and images. Against this background, the aim of this book is to discuss the heterogenous conditions, implications, and effects of modern AI and Internet technologies in terms of their political dimension: What does it mean to critically investigate efforts of net politics in the age of machine learning algorithms?
Download or read book Speaker Vector Based Speaker Recognition with Phonetic Modeling written by Tetsuo Kosaka and published by . This book was released on 2008 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This chapter proposed the method of anchor model-based speaker recognition in textindependent way with phonetic modeling. Since the method doesn't require model training for the target speaker, only about single utterance is needed for reference speech. In order to improve the recognition performance, phonetic modeling was used instead of Gaussian Mixture Model (GMM) scheme as anchor models. The proposed method was evaluated on Japanese speaker identification task. Compared with the performance of GMM-based system, significant improvement could be achieved. The identification rate of 94.21% could be obtained with 3-state 10-mixture HMMs in 30-speaker identification task. In the experiments, the average length of reference speech was only 5.5 sec. By comparison with the GMM-based system, the relative improvement of 62.9% was achieved. The results show that the phonetic modeling is effective for anchor model-based speaker recognition. We are now conducting the evaluation of the method on speaker verification task. We are also conducting the evaluation of speaker identification in noisy conditions. Some results in noisy conditions have been reported in (Goto et al., 2008). The merit of this method is that the system can detect speaker characteristics with a very short utterance as short as 5 sec. Then the method can be used in the tasks of speaker indexing or tracking.
Download or read book Knowledge Resources in Automatic Speech Recognition and Understanding for Romanian Language written by Inge Gavat and published by . This book was released on 2008 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: In sections 2 and 3 of this chapter we presented results obtained in continuous speech recognition and understanding experiments for Romanian language concerning the efficiency of: ? acoustical modeling based on monophones and triphones in continuous and semicontinuous models, with singular and multiple gaussian mixtures ? training with global initialization and retraining with global and individual initialization ? gender based training ? introduction of language models based on finite state grammars and bigram modeling Some discussions and comments of this results could be usefull to conclude about the done work and future work directions. 4.1 Monophone and triphone models All the experiments were carried out on the OCDRL database. Comparing the results obtained for CDHMM models with singular mixtures (Table 2) it is obvious that triphone modeling enhance the recognition performance: WRR is increasing from 84.47% for monophones to 91.84% for CWT and to 97.37% for IWT, a maximum enhancement of more than 12%. Applying CMN the WRR marks again a slight increase. The results obtained for CDHMM models with multiple mixtures (Table 3) show a WRR enhancement of around 12% for monophones with singular mixtures to monophones with five mixtures, with slight increase by increase of mixture numbers. For triphones, the WRR enhancement from single mixtures to multiple ones is not so spectacular: around 2% for IWT and 3% for CWT. Increasing the number of mixtures only slight increase in the WRR can be noticed. But because training time increases for multiple mixtures (Table 3) from 157s to 2323s for monophones, from 263s to 1087s for IWT and from 220s to 1106s for CWT it is better to not increase too much the mixtures number. For SCHMM models, WRR increases of more than 1% can be remarqued by passing from monophones to triphones (Table 4).
