Correction: Speech Recognition in Natural Background Noise
نویسندگان
چکیده
منابع مشابه
Speech recognition experiment in 'natural quiet' background noise
Listening abilities in humans have developed in rural environments which are the dominant setting for the vast majority of human evolution. Hence, the natural acoustic constraints present in such ecological soundscapes are important to take into account in order to study human speech. Here, we measured the impact of basic properties of a typical ‘natural quiet’ and non reverberant soundscape on...
متن کاملBenefits of amplification for speech recognition in background noise.
The purpose of the present study was to examine the benefits of providing audible speech to listeners with sensorineural hearing loss when the speech is presented in a background noise. Previous studies have shown that when listeners have a severe hearing loss in the higher frequencies, providing audible speech (in a quiet background) to these higher frequencies usually results in no improvemen...
متن کاملA Natural Language Correction Model for Continuous Speech Recognition
We have developed a method of improving and controlling the accuracy of automated continuous speech recognition through linguistic postprocessing. In this approach, an output from a speech recognitio n system is passed to a trainable Correction Box module which attempts to locate and repair any transcription errors. The Correction Box consists of a text alignment program, a correction-rule gene...
متن کاملVariational noise model composition through model perturbation for robust speech recognition with time-varying background noise
This study proposes a novel model composition method to improve speech recognition performance in time-varying background noise conditions. It is suggested that each element of the cepstral coefficients represents the frequency degree of the changing components in the envelope of the log-spectrum. With this motivation, in the proposed method, variational noise models are formulated by selective...
متن کاملNoise-Robust Speech Recognition
The presence of noise in the real world is a major problem in the every day usage of speech recognition systems since it normally leads to a significant performance decrease. The main problem is the mismatch between training and operational data. This paper tries to give an overview about the different techniques and algorithms used to improve accuracy for recognizing speech in a noisy environm...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: PLoS ONE
سال: 2014
ISSN: 1932-6203
DOI: 10.1371/annotation/012d9419-8135-40ab-8c81-ce46e8e708d0