SpeechMark: Landmark Detection Tool for Speech Analysis
نویسندگان
چکیده
Landmark-based software tools are particularly suited to fast, automatic analysis of small, non-lexical differences in production of the same speech material by the same speaker. We are building a suite of independent applications and plugins as toolkits that make our landmark-based software system, SpeechMark, available to the wider scientific community. This will be achieved by extending existing software platforms with “plug-ins” that perform specific measures and report results to the user and by developing a MATLAB toolkit. These tools provide automatic summary statistics for measures of speech acoustics based on Stevens’ paradigm of landmarks, points in an utterance around which information about articulatory events can be extracted.
منابع مشابه
Speechmark acoustic landmark tool: application to voice pathology
One area of voice research that has historically been understudied is the interaction between voice pathology and acoustic aspects of the speech signal that affect intelligibility. Landmark-based software tools are particularly suited to fast, automatic analysis of small, non-lexical differences in the acoustic signal reflecting the production of speech. We are building a tool set that provides...
متن کاملPersian Phone Recognition Using Acoustic Landmarks and Neural Network-based variability compensation methods
Speech recognition is a subfield of artificial intelligence that develops technologies to convert speech utterance into transcription. So far, various methods such as hidden Markov models and artificial neural networks have been used to develop speech recognition systems. In most of these systems, the speech signal frames are processed uniformly, while the information is not evenly distributed ...
متن کاملUnvoiced Landmark Detection for Segment-based Mandarin Continuous Speech Recognition
This paper presents an attempt to introduce unvoiced landmarks into statistical continuous speech recognition system. The unvoiced landmark detection algorithm proposed here locates the points in speech where the vocal folds stop or begin freely vibrating. In our experiments, 87.47% of stops and 98.94% of fricatives are segmented from speech after the unvoiced landmark detection, with a very lo...
متن کاملConsonant landmark detection for speech recognition
This thesis focuses on the detection of abrupt acoustic discontinuities in the speech signal, which constitute landmarks for consonant sounds. Because a large amount of phonetic information is concentrated near acoustic discontinuities, more focused speech analysis and recognition can be performed based on the landmarks. Three types of consonant landmarks are defined according to its characteri...
متن کاملLandmark detection for distinctive feature-based speech recognition
This work is a component of a proposed knowledge-based speech recognition system which uses landmarks to guide the search for distinctive features. In the speech signal, landmarks identify times when the acoustic manifestations of the linguistically motivated distinctive features are most salient. This paper describes an algorithm for automatically detecting acoustically abrupt landmarks. Some ...
متن کاملذخیره 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 2012