In this paper we address the problem of topic classification of speech data. Our concern in this paper is the situation in which there is no speech or phoneme recognizer available for the domain of the speech data. In this situation the only inputs for training the system are audio speech files labeled according to the topics of interest. The process that we follow in developing the topic class...

• Each table in the database has one column and stores the possible values for a ground fluent term. •Whenever there is complete knowledge about the term, the corresponding table has exactly one row. E.g., the ground fluent term door has only one possible value (Closed ) and so the table for door has exactly one row: Closed. •Whenever there is incomplete knowledge, the table has more than one r...

paper, we attempt to reconstruct the sitcalculus on a dense flow of time. The

The Cognitive Robotic Service Apartment is both a realistic apartment and a laboratory environment in which the one or several user(s) interact with various manifestations of an intelligent agent e.g. a talking head. We expect that across various situational settings in the apartment, different specifications and adaptations of the synthetic voice will become necessary. Some of the dynamic adap...

Usable speech criteria are proposed to extract minimally corrupted speech for speaker identification (SID) in co-channel speech. In co-channel speech, either speaker can randomly appear as the stronger speaker or the weaker one at a time. Hence, the extracted usable segments are separated in time and need to be organized into speaker streams for SID. In this paper, we focus to organize extracte...

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 w...

It is a difficult problem to recognize baseball live speech because the speech is rather fast, noisy, emotional and disfluent due to rephrasing, repetition, mistake and grammatical deviation caused by spontaneous speaking style. To solve these problems, we have been studied the speech recognition method incorporating the baseball game task-dependent knowledge as well as an announcer’s emotion i...

The evidence is overwhelming that listeners use both statistical patterns about abstract properties of their language, and its phonetic detail, to make informed predictions and decisions. Listeners seem to learn about new phonetic detail when it does not contradict other important cues to communicating meaning. Though we do not always use available phonetic detail, we probably monitor it consta...

Analysis of non stationary signals like audio, speech and biomedical signals require good resolution both in time and frequency as their spectral components are not fixed. There are many applications of time-frequency analysis in non stationary signals like source separation, signal denoising etc. This paper presents an application of time frequency analysis using STFT, Short Time Fourier Trans...