Assessment of Severe Apnoea through Voice Analysis, Automatic Speech, and Speaker Recognition Techniques

Eurasip Journal on Advances in Signal Processing

Volumn 2009, Issue , 2009, Pages

  Pozo, Rubén Fernández ^a   Murillo, Jose Luis Blanco ^a   Gmez, Luis Hernández ^a   Gonzalo, Eduardo Lpez ^a   Ramírez, José Alcázar ^b   Toledano, Doroteo T ^c  

^a UNIVERSIDAD POLITÉCNICA DE MADRID   (Spain)

^b Hospital Torrecrdenas   (Spain)

^c UNIVERSIDAD AUTÓNOMA DE MADRID   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATIC DIAGNOSIS; AUTOMATIC SPEECH RECOGNITION; CLASSIFICATION RATES; COLLABORATIVE EFFORTS; EARLY DETECTION; GAUSSIAN MIXTURE MODEL; OBSTRUCTIVE SLEEP APNOEA; SPEAKER RECOGNITION; SPEECH DATABASE; SPEECH SPECTRA; TESTING TIME; VOICE ANALYSIS; VOICE CHARACTERISTICS;

DISTRIBUTED COMPUTER SYSTEMS; INDUSTRIAL RESEARCH; REMELTING; SIGNAL PROCESSING; SLEEP RESEARCH;

SPEECH RECOGNITION;

EID: 68349105846     PISSN: 16876172     EISSN: 16876180     Source Type: Journal    
DOI: 10.1155/2009/982531     Document Type: Article

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