Automatic lyrics synchronization for karaoke applications is a major challenge in the field of music information retrieval. An important pre-requisite in order to precisely synchronize the music and corresponding text is the detection of single phonemes in the vocal part of polyphonic music. This paper describes a system, which detects the phonemes based on a state-of-the-art audio information ...

This paper proposes the use of decision trees for analyzing errors in spontaneous presentation speech recognition. The trees are designed to predict whether a word or a phoneme can be correctly recognized or not, using word or phoneme attributes as inputs. The trees are constructed using training “cases” by choosing questions about attributes step by step according to the gain ratio criterion. ...

A new approach to represent temporal correlation in an automatic speech recognition system is described. It introduces an acoustic feature set that captures the dynamics of speech signal at the phoneme boundaries in combination with the traditional acoustic feature set representing the periods that are assumed to be quasi-stationary of speech. This newly introduced feature set represents an obs...

A speech signal contains many levels of information. Speech conveys the information about the language being spoken, the emotion, gender, and the identity of the speaker. Features parameters extracted from speech are very useful for speaker recognition as well as speech recognition. In this paper, the features LPC and MFCC are computed of Assamese vowel phonemes which will be helpful to develop...

This paper describes an efficient method to predict words whose recognition rates are low. This method is based on the idea that the minimum value of the word pair recognition rates corresponds to the word recognition rate. The word pair recognition rates can be calculated by the measured distributions of phoneme log likelihood difference. The proposed method was evaluated by recognition experi...

In order to apply speech spectrogram reading heuristics to an automatic speech recognition system, a more accurate expression of the heuristics must be developed. In particular, the transformation between acoustic feature measurements and phoneme candidates must be developed in a quantitative manner. In this paper, a visual acoustic-feature labeland a phoneme identification approach using this ...

In many embedded speech recognition systems, the phonetic transcriptions of the vocabulary items, i.e., the lexicons, cannot be stored to the device beforehand. A text-to-phoneme mapping functionality is hence needed to create the transcriptions from plain text. Several approaches have been evaluated in the literature. In this paper, a decision tree based text-to-phoneme mapping is studied. A d...

The aim of this work is to exploit the acoustic-phonetic similarities between several languages. In recent work cross{ language HMM-based phoneme models have been used only for bootstrapping the language{dependent models and the multi{lingual approach has been investigated only on very small speech corpora. In this paper, we introduce a statistical distance measure to determine the similarities...

We investigate techniques for acoustic modeling in automatic recognition of context-independent phoneme strings from the TIMIT database. The baseline phoneme recognizer is based on TempoRAl Patterns (TRAP). This recognizer is simplified to shorten processing times and reduce computational requirements. More states per phoneme and bi-gram language models are incorporated into the system and eval...

This paper describes several approaches to keyword spotting (KWS) for informal continuous speech. We compare acoustic keyword spotting, spotting in word lattices generated by large vocabulary continuous speech recognition and a hybrid approach making use of phoneme lattices generated by a phoneme recognizer. The systems are compared on carefully defined test data extracted from ICSI meeting dat...