An Exemplar-based Approach to Automatic Burst Detection in Spontaneous Speech
نویسنده
چکیده
This paper introduces a novel algorithm for detecting burst in voiceless stops in spontaneous speech. This algorithm uses an exemplar-based approach for detecting aspiration noise, and avoids the normalization problem since the exemplars are inherently speaker-specific and environment-specific. The algorithm is trained and tested on 19 speakers’ data. The overall error is estimated to be under 5 ms. We also show the wide range of variation in the phonetic makeup of stops in spontaneous speech and how the algorithm is improved to deal with the difficult cases.
منابع مشابه
IEEE AASP Challenge on Detection and Classification of Acoustic Scenes and Events AN EXEMPLAR-BASED NMF APPROACH FOR AUDIO EVENT DETECTION
We present a novel, exemplar-based method for audio event detection based on non-negative matrix factorisation (NMF). Building on recent work in noise robust automatic speech recognition, we model events as a linear combination of dictionary atoms, and mixtures as a linear combination of overlapping events. The exemplarbased dictionary is created by extracting all available training data, artif...
متن کاملAutomatic Anomaly Detection for Dysarthria across Two Speech Styles: Read vs Spontaneous Speech
Perceptive evaluation of speech disorders is still the standard method in clinical practice for the diagnosing and the following of the condition progression of patients. Such methods include different tasks such as read speech, spontaneous speech, isolated words, sustained vowels, etc. In this context, automatic speech processing tools have proven pertinence in speech quality evaluation and as...
متن کاملAutomatic Phonetic Transcription in Two Steps: Forced Alignment and Burst Detection
In the last decade, there was a growing interest in conversational speech in the fields of human and automatic speech recognition. Whereas for the varieties spoken in Germany, both resources and tools are numerous, for Austrian German only recently the first corpus of read and conversational speech was collected. In the current paper, we present automatic methods to phonetically transcribe and ...
متن کاملProsodic Structure Representation for Boundary Detection in Spontaneous French
Automatic speech processing has recently turned to the treatment of continuous spontaneous speech, which demands, among many other issues, a representation of its prosodic organization. This paper presents a new approach to automatic prosodic boundary detection and prosodic unit structuring, based, with certain changes, on a descriptive theory of the French prosodic system initially proposed fo...
متن کاملReducing Light Change Effects in Automatic Road Detection
Automatic road extraction from aerial images can be very helpful in traffic control and vehicle guidance systems. Most of the road detection approaches are based on image segmentation algorithms. Color-based segmentation is very sensitive to light changes and consequently the change of weather condition affects the recognition rate of road detection systems. In order to reduce the light change ...
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 2008