Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article Alternative Speech Communication System for Persons with Severe Speech Disord
Communication in general is
process of sending and
receiving messages that
enables humans to share
knowledge, attitudes, and
skills. Although we usually identify
communication with speech,
communication is composed
of two dimensions - verbal and
In general, speech coding is a procedure to represent a digitized speech signal using
as few bits as possible, maintaining at the same time a reasonable level of speech
quality. A not so popular name having the same meaning is speech compression.
Speech coding has matured to the point where it now constitutes an important application
area of signal processing. Due to the increasing demand for speech communication,
speech coding technology has received augmenting levels of interest from
the research, standardization, and business communities....
What are the compelling reasons for carrying out dynamic speech modeling? We provide the answer in two related aspects. First, scientific inquiry into the human speech code has been relentlessly pursued for several decades. As an essential carrier of human intelligence and knowledge, speech is the most natural form of human communication. Embedded in the speech code are linguistic (as well as para-linguistic) messages, which are conveyed through four levels of the speech chain.
Steganography is the art and science of communicating which hides the existence of the communication. Steganographic technologies are an important part of the future of Internet security and privacy on open systems such as the Internet. This book's focus is on a relatively new field of study in Steganography and it takes a look at this technology by introducing the readers various concepts of Steganography and Steganalysis. The book has a brief history of steganography and it surveys steganalysis methods considering their modeling techniques....
We address the problem of part-of-speech tagging for English data from the popular microblogging service Twitter. We develop a tagset, annotate data, develop features, and report tagging results nearing 90% accuracy. The data and tools have been made available to the research community with the goal of enabling richer text analysis of Twitter and related social media data sets.
This paper focuses on identifying, extracting and evaluating features related to syntactic complexity of spontaneous spoken responses as part of an effort to expand the current feature set of an automated speech scoring system in order to cover additional aspects considered important in the construct of communicative competence.
This tutorial is about the evolution of speech technology from research to a mature industry. Today, spoken language communication with computers is becoming part of everyday life. Thousands of interactive applications using spoken language technology— known also as “conversational machines”—are only phone calls away, allowing millions of users each day to access information, perform transactions, and get help. Speech recognition, language understanding, text-to-speech synthesis, machine learning, and dialog management enabled this revolution after more than 50 years of research.
Human face-to-face conversation is an ideal model for human-computer dialogue. One of the major features of face-to-face communication is its multiplicity of communication channels that act on multiple modalities. To realize a natural multimodal dialogue, it is necessary to study how humans perceive information and determine the information to which humans are sensitive. A face is an independent communication channel that conveys emotional and conversational signals, encoded as facial expressions.
During thc past two decades, much work in linguistics has focused on sentences as minimal units of communication, and the project of rigorously characterizing the structure of sentences in natural language has met with some succcss. Not surprisingly, however, sentcnce grammars have contributed little to the analysis of discourse, Human discourse consists not just of words in sequences, hut of words in sequences directed by a speaker to an addressee, used to represent situations and to reveal intentions.
The main goal of this paper is to propose automatic schemes for the translation paired comparison method. This method was proposed to precisely evaluate a speech translation system's capability. Furthermore, the method gives an objective evaluation result, i.e., a score of the Test of English for International Communication (TOEIC). The TOEIC score is used as a measure of one's speech translation capability. However, this method requires tremendous evaluation costs. Accordingly, automatization of this method is an important subject for study.
This paper presents a speech understanding component for enabling robust situated human-robot communication. The aim is to gain semantic interpretations of utterances that serve as a basis for multi-modal dialog management also in cases where the recognized word-stream is not grammatically correct. For the understanding process, we designed semantic processable units, which are adapted to the domain of situated communication. Our framework supports the speciﬁc characteristics of spontaneous speech used in combination with gestures in a real world scenario. ...
We briefly describe a two-way speech-tospeech English-Farsi translation system prototype developed for use in doctorpatient interactions. The overarching philosophy of the developers has been to create a system that enables effective communication, rather than focusing on maximizing component-level performance. The discussion focuses on the general approach and evaluation of the system by an independent government evaluation team.
Artificial Intelligence Center SRI International and Center for the Study of Language and Information Stanford University Hector J. Levesque Department of Computer Science University of Toronto" Abstract emerges as a consequence of principles of action. This pallet derives the ha.sis of a theory, of communication from a formal theov,.' of rational interaction.
In this paper, we describe experiments conducted on identifying a person using a novel unique correlated corpus of text and audio samples of the person’s communication in six genres. The text samples include essays, emails, blogs, and chat. Audio samples were collected from individual interviews and group discussions and then transcribed to text. For each genre, samples were collected for six topics.
Chapter 8 - Agent communication, in this lecture and the next, we cover macro-aspects of intelligent agent technology: those issues relating to the agent society, rather than the individual: Communication, cooperation.
Chapter 16 - Delivering oral reports and business speeches. After completing this unit, you should be able to: Define oral reports and describe important differences between oral and written reports; determine an appropriate topic, purpose, and structure for a speech or presentation; describe the personal, physical, and vocal traits that contribute to an effective report or speech;...
Chapter 7 - Designing oral presentations. This chapter includes contents: Speak up, choosing a speech topic, speech goals, doing your homework, organizing your speech, visual aids, using electronic presentation software, types of speech delivery, after the speech.
Slang and Society
Slang derives much of its power from the fact that it is clandestine,
forbidden or generally disapproved of. So what happens once it is
accepted, even in some cases embraced and promoted by
‘mainstream’ society? Not long ago the Oxford English Dictionary
characterised slang as ‘low and disreputable’; in the late 1970s the
pioneering sociolinguist Michael Halliday used the phrase
‘anti-language’ in his study of the speech of criminals and
marginals. For him, theirs was an interestingly ‘pathological’ form