Albayzin speech database_ design of the phonetic corpus (pdf download available)

Sleep apnea (OSA) is a common sleep disorder characterized by recurring breathing pauses during sleep caused by a blockage of the upper airway (UA). Data recovery software windows The altered UA structure or function in OSA speakers has led to hypothesize the automatic analysis of speech for OSA assessment. Cost of data recovery In this paper we critically review several approaches using speech analysis and machine learning techniques for OSA detection, and discuss the limitations that can arise when using machine learning techniques for diagnostic applications.

A large speech database including 426 male Spanish speakers suspected to suffer OSA and derived to a sleep disorders unit was used to study the clinical validity of several proposals using machine learning techniques to predict the apnea-hypopnea index (AHI) or classify individuals according to their OSA severity.


Database first entity framework AHI describes the severity of patients’ condition. Data recovery iphone 5 We first evaluate AHI prediction using state-of-the-art speaker recognition technologies: speech spectral information is modelled using supervectors or i-vectors techniques, and AHI is predicted through support vector regression (SVR). Raid 0 data recovery Using the same database we then critically review several OSA classification approaches previously proposed. 7 data recovery serial key The influence and possible interference of other clinical variables or characteristics available for our OSA population: age, height, weight, body mass index, and cervical perimeter, are also studied.

The poor results obtained when estimating AHI using supervectors or i-vectors followed by SVR contrast with the positive results reported by previous research. Database modeling This fact prompted us to a careful review of these approaches, also testing some reported results over our database. A database record is an entry that contains Several methodological limitations and deficiencies were detected that may have led to overoptimistic results.

The methodological deficiencies observed after critically reviewing previous research can be relevant examples of potential pitfalls when using machine learning techniques for diagnostic applications. Java database We have found two common limitations that can explain the likelihood of false discovery in previous research: (1) the use of prediction models derived from sources, such as speech, which are also correlated with other patient characteristics (age, height, sex,…) that act as confounding factors; and (2) overfitting of feature selection and validation methods when working with a high number of variables compared to the number of cases. Easeus data recovery 9 serial We hope this study could not only be a useful example of relevant issues when using machine learning for medical diagnosis, but it will also help in guiding further research on the connection between speech and OSA.

[Show abstract] [Hide abstract] ABSTRACT: Objective: The current study describes the collection of a new phonemically-balanced Spanish sentence resource, known as the Sharvard Corpus. Iphone 5 data recovery software free Design: The resource contains 700 sentences inspired by the original English Harvard sentences along with speech recordings from a male and female native peninsular Spanish talker. Database partitioning Sentences each contain five keywords for scoring and are grouped into 70 lists of 10 sentences using an automatic phoneme-balancing procedure. Database gif Study sample: Twenty-three native Spanish listeners identified keywords in the Sharvard sentences in speech-shaped noise. Database project ideas Results: Psychometric functions for the Sharvard sentences indicate mean speech reception thresholds of – 6.07 and – 6.24 dB, and slopes of 10.53 and 11.03 percentage points per dB at the 50% keywords correct point for male and female talkers respectively. Iphone 5 data recovery without backup Conclusions: The resulting open source collection of Spanish sentence material for speech perception testing is available online.

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