Segmentation of speech into T . Nagarajan , Hema A . Murthy an
نویسنده
چکیده
In the development of a syllable-centric ASR system, segmentation of the acoustic signal into syllabic units is an important stage. This paper presents a minimum phase group delay based approach to segment spontaneous speech into syllablelike units. Here, three different minimum phase signals are derived from the short term energy functions of three sub-bands of speech signals, as if it were a magnitude spectrum. The experiments are carried out on Switchboard and OGI-MLTS corpus and the error in segmentation is found to be utmost 40msec for 85% of the syllable segments.
منابع مشابه
Language identification from short segments of speech
Automatic language identi cation (LID) from the spoken speech utterance is a challenging problem. In this paper, we present an LID system that works for South Indian languages and Hindi. Each language is modeled using an approach based on Vector Quantisation [1]. The speech is segmented into di erent sounds (CVs) and the performance of the system on each of the segments is studied. Our studies ...
متن کاملAutomatic transcription of continuous speech using unsupervised and incremental training
In [1], a novel approach is proposed for automatically segmenting and transcribing continuous speech signal without the use of manually annotated speech corpora. In this approach, the continuous speech signal is first automatically segmented into syllable-like units and similar syllable segments are grouped together using an unsupervised and incremental clustering technique. Separate models are...
متن کاملSegmentation of speech into
In the development of a syllable-centric ASR system, segmentation of the acoustic signal into syllabic units is an important stage. This paper presents a minimum phase group delay based approach to segment spontaneous speech into syllablelike units. Here, three different minimum phase signals are derived from the short term energy functions of three sub-bands of speech signals, as if it were a ...
متن کاملGROUP DELAY BASED SEGMENTATION OF SPONTANEOUS SPEECH INTO SYLLABLE-LIKE UNITS T.Nagarajan,
In the development of a syllable-centric ASR system, segmentation of the acoustic signal into syllabic units is an important stage. This paper presents a minimum phase group delay based approach to segment spontaneous speech into syllable-like units. Here, three different minimum phase signals are derived from the short term energy functions of three sub-bands of speech signals, as if it were a...
متن کاملSubband-Based Group Delay Segmentation of Spontaneous Speech into Syllable-Like Units
In the development of a syllable-centric Automatic Speech Recognition (ASR) system, segmentation of the acoustic signal into syllabic units is an important stage. Although the short-term energy (STE) function contains useful information about syllable segment boundaries, it has to be processed before segment boundaries can be extracted. This paper presents a sub-band based group delay approach ...
متن کامل