Automatically Derived Units in the Speech Processing

Current systems for recognition, synthesis, very low bit-rate (VLBR) coding and text-independent speaker verification rely on sub-word units determined using phonetic knowledge. This paper presents an alternative to this approach - determination of speech units using AUSP (Automatic Language Independent Speech Processing) tools. Experimental results for speaker-dependent VLBR coding are reported on two databases: average rate of 120 bps for unit encoding was achieved. In verification, this approach was tested during 1998's NIST-NSA evaluation campaign with a MLP-based scoring system

Audio Surveillance through Known Event Classification

The way of audio surveillance through known event classification is presented introducing simple yet efficient framework. The use of the proposed system for unknown event detection is also suggested and evaluated. Further, a specific audio event is detected with use of audio classification, which helps the detection to focus on a signal of specific behavior. Thus it is shown that the system can be used in several applications

Speech spectrum representation and coding using multigrams with distance

International audienc

Diphone-like units without phonemes - option for very low bit rate speech coding

International audienc

SpeechDat-E: Five Eastern European Speech Databases for Voice-Operated Teleservices Completed

Contains fulltext : 76438.pdf (author's version ) (Open Access)4 p

A Segmental Approach To Text-Independent Speaker Verification

Current text-independent speaker verification systems are usually based on modeling globally the probability density function (PDF) of the speaker feature vectors. In this paper, segmental approaches to text-independent speaker verification are discussed. Unlike the schemes based on Large Vocabulary Continuous Speech Recognition (LVCSR) with previously trained phone models, our systems are based on units derived in unsupervised manner using the ALISP (Automatic Language Independent Processing) tools. Speaker modeling is then done independently for each class of speech sounds. Among the techniques to merge the classdependent scores, linear combination was tested and logistic regression and a method based on the Mixture of Experts technique are under investigation. The experimental results were obtained on the data from the NIST-NSA'98 campaign. Keywords: text-independent speaker verification, segmental approach, data fusion. 1. INTRODUCTION Current text-independent speaker verificatio..

SpeechDat(E) - Eastern European Telephone Speech Databases

Contains fulltext : 76435.pdf (author's version ) (Open Access)6 p

Epidemiology of traumatic brain injury in children receiving intensive care in the UK

Aims: To describe the epidemiology of children with traumatic brain injury (TBI) admitted to paediatric intensive care units (PICUs) in the UK. Methods: Prospective collection of clinical and demographic information from paediatric and adult intensive care units in the UK and Eire between February 2001 and August 2003. Results: The UK prevalence rate for children ( 0-14 years) admitted to intensive care with TBI between February 2001 and August 2003 was 5.6 per 100 000 population per year ( 95% Poisson exact confidence intervals 5.17 to 6.05). Children admitted to PICUs with TBI were more deprived than the population as a whole ( mean Townsend score for TBI admissions 1.19 v 0). The commonest mechanism of injury was a pedestrian accident ( 36%), most often occurring in children over 10. There was a significant summer peak in admissions in children under 10 years. Time of injury peaked in the late afternoon and early evening, a pattern that remained constant across the days of the week. Injuries involving motor vehicles have the highest mortality rates ( 23% of vehicle occupants, 12% of pedestrians) compared with cyclists (8%) and falls (3%). In two thirds of admissions (65%) TBI was an isolated injury. Conclusions: TBI in children requiring intensive care is more common in those from poorer backgrounds who have been involved in accidents as pedestrians. The summer peak in injury occurrence for 0-10 year olds and late afternoon timing give clear targets for community based injury prevention