APS: an environment for acoustic phonetic research

نویسنده

  • Gordon S. Watson
چکیده

Investigation into the relationship between phonetic segments and their acoustic values demands complex data analysis. This paper describes a software environment called APS designed to aid this task. APS provides a means of indexing segments of continuous speech in a general way; These Segments may be obtained from a hand-produced phonemic transcription of the speech according to a phonemic context specified by the user. Alternatively, segments may be generated on the basis of acoustic values produced by a · variety of signal processing operations. Functions are available that measure the acoustic values within segments. Such operations are commonly performed on thousands of speech segments simultaneously. APS has therefore been integrated with S, a comprehensive data analysis environment.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Significance of Invariant Acoustic Cues in a Probabilistic Framework for Landmark-based Speech Recognition

A probabilistic framework for landmark-based speech recognition that utilizes the sufficiency and context invariance properties of acoustic cues for phonetic features is presented. Binary classifiers of the manner phonetic features "sonorant", "continuant" and "syllabic" operate on each frame of speech, each using a small number of relevant and sufficient acoustic parameters to generate probabi...

متن کامل

A probabilistic framework for landmark detection based on phonetic features for automatic speech recognition.

A probabilistic framework for a landmark-based approach to speech recognition is presented for obtaining multiple landmark sequences in continuous speech. The landmark detection module uses as input acoustic parameters (APs) that capture the acoustic correlates of some of the manner-based phonetic features. The landmarks include stop bursts, vowel onsets, syllabic peaks and dips, fricative onse...

متن کامل

Title of dissertation : SPEECH RECOGNITION BASED ON PHONETIC FEATURES AND ACOUSTIC LANDMARKS

Title of dissertation: SPEECH RECOGNITION BASED ON PHONETIC FEATURES AND ACOUSTIC LANDMARKS Amit Juneja, Doctor of Philosophy, 2004 Dissertation directed by: Carol Espy-Wilson Department of Electrical and Computer Engineering A probabilistic and statistical framework is presented for automatic speech recognition based on a phonetic feature representation of speech sounds. In this acoustic-phone...

متن کامل

Landmark-based approach to speech recognition: an alternative to HMMs

In this paper, we compare a Probabilistic Landmark-Based speech recognition System (LBS) which uses Knowledge-based Acoustic Parameters (APs) as the front-end with an HMMbased recognition system that uses the Mel-Frequency Cepstral Coefficients as its front end. The advantages of LBS based on APs are (1) the APs are normalized for extra-linguistic information, (2) acoustic analysis at different...

متن کامل

The design of acoustic parameters for speaker-independent speech recognition

This paper presents a two-stage procedure, based on the Fisher criterion and automatic classi cation trees, for designing acoustic parameters (APs) that target phonetic features in the speech signal. This procedure and a subset of the TIMIT training set were used to develop acoustic parameters for the phonetic features: sonorant, syllabic, strident, palatal, alveolar, labial and velar. Results ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 1989