Pitch detection of speech signals using segmented autocorrelation

Atkinson, Ian A.; Kondoz, A.M.; Evans, B.G.

doi:10.1049/el:19950365

Cited by 9 publications

(3 citation statements)

References 3 publications

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“…A larger window size would provide a better resolution, but would be less capable of tracking rapid rate changes and therefore would not be suitable for real time monitoring. For human experiments, we exploited a well-known method in [39]. This technique states that: if the signal contains a single dominant frequency, its frequency can be accurately estimated by performing an auto-correlation operation.…”

Section: Human Subject Studymentioning

confidence: 99%

Effects of Antenna Characteristics on the Performance of Heart Rate Monitoring Radar Systems

Nosrati

Tavassolian

2017

IEEE Trans. Antennas Propagat.

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This paper presents an experimental study to evaluate the effects of antenna radiation parameters on the detection capabilities of a 2.4 GHz Doppler radar used in non-contact heart rate monitoring systems. Four different types of patch antennas and array configurations were implemented on both the transmitter and receiver sides. Extensive experiments using a linear actuator were performed and several interesting and nontrivial results were reported. It is shown that using a linearly polarized single patch antenna at the transmitter and a circularly polarized antenna array at the receiver results in the highest signal quality and system performance. Proof-ofconcept experiments on human subjects further validated the suggested results. It was also shown that using the recommended antenna arrangement will boost the heart rate detection accuracy of the radar by an average of 11%.

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Section: Human Subject Studymentioning

confidence: 99%

Effects of Antenna Characteristics on the Performance of Heart Rate Monitoring Radar Systems

Nosrati

Tavassolian

2017

IEEE Trans. Antennas Propagat.

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“…However, to date, very few studies have evaluated the effects of systematically altering window frame length or pitch range settings on large batches of sound files and compared them to idiosyncratically selected gold standards. Attempts to employ automated pitch extraction and window length algorithms are being refined (Atkinson, Kondoz, & Evans, 1995; Fette, Gibson, & Greenwood, 1980; Karnell, Scherer, & Fischer, 1991; Rabiner, 1977), but this remains a complex process. Until fast and accurate techniques are developed to facilitate large, batch processing of voice files, preset frame sizes designed for distinct population groups will be required.…”

Section: Introductionmentioning

confidence: 99%

Standardization of pitch-range settings in voice acoustic analysis

Vogel

Maruff

Snyder

et al. 2009

Behavior Research Methods

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Voice acoustic analysis is typically a labor-intensive, time-consuming process that requires the application of idiosyncratic parameters tailored to individual aspects of the speech signal. Such processes limit the efficiency and utility of voice analysis in clinical practice as well as in applied research and development. In the present study, we analyzed 1,120 voice files, using standard techniques (case-by-case hand analysis), taking roughly 10 work weeks of personnel time to complete. The results were compared with the analytic output of several automated analysis scripts that made use of preset pitch-range parameters. After pitch windows were selected to appropriately account for sex differences, the automated analysis scripts reduced processing time of the 1,120 speech samples to less than 2.5 h and produced results comparable to those obtained with hand analysis. However, caution should be exercised when applying the suggested preset values to pathological voice populations.

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“…Como ejemplo de los algoritmos de esta generación vamos a presentar un detector propuesto por I.A. ATKINSON [Atk95]. El método está basado en la autocorrelación segmentada.…”

Section: Realzamiento Del Espectrogramaunclassified

Metodología para la visualización de los formantes, basada en la transformada de Fourier, y su uso en el estudio espectral de la fonética acústica española

Bermúdez¹

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Esta Tesis Doctoral muestra que es necesario utilizar ventanas temporales relativamente pequeñas para obtener el espectro de la voz. Esto provoca que el espectro calculado sea el resultado de dos señales conjuntas: señal de voz y ventana temporal.La hipótesis en la que se basa esta tesis es que mediante el análisis de las funciones Evolución se puede establecer un método para eliminar parte de la energía del espectro que proviene de la utilización de ventanas temporales. Las funciones Evolución han sido desarrolladas en este trabajo y son innovadoras, ya que no se ha encontrado ninguna documentación que las haga referencia.El estudio de las funciones Evolución se desarrolla a través de tres etapas. En una primera etapa se realiza un análisis en variable continua estableciendo los fundamentos matemáticos en que se basa el método de eliminación de energía sobrante del espectro.En una segunda etapa se estudia mediante la variable discreta en donde se desarrollan las bases del método. Por último, las funciones Evolución se estudian mediante la utilización de muestras de voz para ajustar los diferentes parámetros que intervienen en el método.Una vez finalizada las investigaciones, ha quedado validada la hipótesis inicial, ya que se ha desarrollado con éxito el método buscado. Como demostración de la eficacia del mismo, se aportan en esta tesis los espectros de un conjunto de alófonos representativos de los fonemas del castellano.Finalmente, se plantea un algoritmo propio para la extracción automática de formantes teniendo en cuenta las características especiales que poseen los espectros aquí presentados. Este algoritmo destaca por extraer todos aquellos formantes que encuentra, sin limitarse a los n primeros.

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Pitch detection of speech signals using segmented autocorrelation

Cited by 9 publications

References 3 publications

Effects of Antenna Characteristics on the Performance of Heart Rate Monitoring Radar Systems

Effects of Antenna Characteristics on the Performance of Heart Rate Monitoring Radar Systems

Standardization of pitch-range settings in voice acoustic analysis

Metodología para la visualización de los formantes, basada en la transformada de Fourier, y su uso en el estudio espectral de la fonética acústica española

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