Classification phase is one of the most active research and application areas of speech recognition. The literature is vast and growing. This paper summarizes the some of the most important developments in the classification procedures of the speech recognition applications. The state of art of the classification technique has also been presented in this paper. Different classification techniqu...

A classification method is presented that detects the presence of speech embedded in a real acoustic background of non-speech sounds. Features used for classification are modulation components extracted by computation of the amplitude modulation spectrogram. Feature selection techniques and support vector classification are employed to identify modulation components most salient for the classif...

The paper presents a series of experiments on speech utterance classification performed on the ATIS corpus. We compare the performance of n-gram classifiers with that of Naive Bayes and maximum entropy classifiers. The n-gram classifiers have the advantage that one can use a single pass system (concurrent speech recognition and classification) whereas for Naive Bayes or maximum entropy classifi...

The speech to song illusion is a perceptual phenomenon where listeners perceive the transformation of certain speech clips into song after approximately ten consecutive repetitions of the clips. Both perceptual and acoustic features of the audio clips have been studied in previous experiments. Though the perceptual effects are clear, the features driving the illusion are only known to relate to...

Speech/non-speech sound classification is an important problem in audio diarization, audio document retrieval and advanced human interfaces. The focus of this study is on the development of spectral and temporal acoustic features for speech/non-speech sound classification based on production differences in speech versus whistle. Seven timeand frequency-domain based features are investigated. Pe...

Speech emotion as anger, boredom, fear, gladness, etc. is high semantic information and its automatic analysis may have many applications such as smart human-computer interactions or multimedia indexing. Main difficulties for an efficient speech emotion classification reside in complex emotional class borders leading to necessity of appropriate audio feature selection. While current work in the...

Speech can be broadly categorized into voiceless, voiced, and mute signal, in which voiced speech can be further classified into vowel and voiced consonant. With the ever increasing demand of the speech synthesis applications, it is urgent to develop an effective classification method to differentiate vowel and voiced consonant signal since they are two distinct components that affect the natur...