Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Pablo Peso Parada"'
Publikováno v:
Journal of the Audio Engineering Society. 65:90-99
Autor:
Costas Yiallourides, Pablo Peso Parada
Publikováno v:
ICASSP
A novel approach for gesture recognition on mobile handsets which does not require any additional transducers is presented. The method is based on transmitting ultrasonic pulses from the earpiece and the loudspeaker and receiving with two microphones
Autor:
Pablo Peso Parada, Rahim Saeidi
Publikováno v:
EUSIPCO
A novel approach for proximity detection on mobile handsets which does not require any additional transducers is presented. The method is based on transmitting a chirp and processing the received signal by applying Least Mean Square (LMS), where the
Autor:
Dushyant Sharma, Daniel A. Barreda, Jose Lainez, Toon van Waterschoot, Pablo Peso Parada, Patrick A. Naylor
Several intrusive measures of reverberation can be computed from measured and simulated room impulse responses, over the full frequency band or for each individual mel-frequency subband. It is initially shown that full-band clarity index ${\rm{C}}_{5
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::95217fd27e63cba1c0332059765202c3
http://hdl.handle.net/10044/1/32153
http://hdl.handle.net/10044/1/32153
Autor:
Simon Doclo, Toon van Waterschoot, Patrick A. Naylor, Dushyant Sharma, Mike Brookes, Mathieu Hu, Pablo Peso Parada
Publikováno v:
WASPAA
Speaker diarization has gained much importance over the past five years in helping overcome key challenges faced by automatic meeting transcription systems. Current state-of-the-art algorithms can only utilize spatial information when multi-microphon
We present single-channel approaches to robust automatic speech recognition (ASR) in reverberant environments based on non-intrusive estimation of the clarity index (C 50). Our best performing method includes the estimated value of C 50 in the ASR fe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0bf4bf240e539af4ea1a65c55754f0bd
http://hdl.handle.net/10044/1/32163
http://hdl.handle.net/10044/1/32163
Publikováno v:
GlobalSIP
© 2014 IEEE. We present a phoneme confusion analysis that models the impact of reverberation on automatic speech recognition performance by formulating the problem in a Bayesian framework. Our analysis under reverberant conditions shows the relative
Autor:
Jose Lainez, Daniel A. Barreda, Dushyant Sharma, Pablo Peso Parada, T. van Waterschoot, Patrick A. Naylor
Publikováno v:
IWAENC
The problem of blind estimation of the room acoustic clarity index C 50 from single-channel reverberant speech signals is presented in this paper. We analyze the performance of several machine learning methods for a regression task using 309 features
Publikováno v:
The Journal of the Acoustical Society of America. 135(6)
In recent years, a number of automatic detection systems for free-ranging cetaceans have been proposed that aim to detect not just surfaced, but also submerged, individuals. These systems are typically based on pattern-recognition techniques applied
Publikováno v:
ICASSP
We show corroborating evidence that, among a set of common acoustic parameters, the clarity index C 50 provides a measure of reverberation that is well correlated with speech recognition accuracy. We also present a data driven method for non-intrusiv