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3,078
Effect of temporal envelope smearing on speech reception.
- International Journal of Bioelectromagnetism
, 2011
"... The effect of smearing the temporal envelope on the speech-reception threshold (SRT) for sentences in noise and on phoneme identification was investigated for normal-hearing listeners. For this purpose, the speech signal was split up into a series of frequency bands (width of The ear's resolut ..."
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Cited by 145 (0 self)
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the temporal modulation spectrum changes, and the intelligibility can be evaluated as a function of the temporal envelope cutoff frequency. Smearing of the temporal envelope should not be done on the wideband speech signal. It is known that those modulations can be reduced considerably, without affecting
Global and regional climate changes due to black carbon,
- Nat. Geosci.,
, 2008
"... Figure 1: Global distribution of BC sources and radiative forcing. a, BC emission strength in tons per year from a study by Bond et al. Full size image (42 KB) Review Nature Geoscience 1, 221 -227 (2008 Black carbon in soot is the dominant absorber of visible solar radiation in the atmosphere. Ant ..."
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Cited by 228 (5 self)
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shorter lifetime compared with CO2 (which has a lifetime of 100 years or more), a major focus on decreasing BC emissions offers an opportunity to mitigate the effects of global warming trends in the short term (see, for example, only the non-BC aerosols were controlled, it could potentially add 2.3 W m -2
Key Words Jitter � Short-term jitter � Sustained vowels � Continuous
"... speech � Beat spectrum � Spectral jitter In this paper, we investigate the use of jitter estimation over short time intervals (short-term jitter) for voice pathology detection in the case of running or continuous speech. Short-term jitter estimations are provided by the spectral jitter estimator (SJ ..."
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speech � Beat spectrum � Spectral jitter In this paper, we investigate the use of jitter estimation over short time intervals (short-term jitter) for voice pathology detection in the case of running or continuous speech. Short-term jitter estimations are provided by the spectral jitter estimator
Speech Recognition with Dynamic Bayesian Networks
, 1998
"... Dynamic Bayesian networks (DBNs) are a useful tool for representing complex stochastic processes. Recent developments in inference and learning in DBNs allow their use in real-world applications. In this paper, we apply DBNs to the problem of speech recognition. The factored state representation ena ..."
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Cited by 130 (9 self)
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enabled by DBNs allows us to explicitly represent long-term articulatory and acoustic context in addition to the phonetic-state information maintained by hidden Markov models (HMMs). Furthermore, it enables us to model the short-term correlations among multiple observation streams within single time
Short-term memory in autism spectrum disorder
- Journal of Abnormal Psychology
, 2011
"... Copyright & reuse City University London has developed City Research Online so that its users may access the research outputs of City University London's staff. Copyright © and Moral Rights for this paper are retained by the individual author(s) and / or other copyright holders. All materia ..."
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Cited by 6 (0 self)
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Copyright & reuse City University London has developed City Research Online so that its users may access the research outputs of City University London's staff. Copyright © and Moral Rights for this paper are retained by the individual author(s) and / or other copyright holders. All material in City Research Online is checked for eligibility for copyright before being made available in the live archive. URLs from City Research Online may be freely distributed and linked to from other web pages. Versions of research The version in City Research Online may differ from the final published version. Users are advised to check the Permanent City Research Online URL above for the status of the paper. Enquiries If you have any enquiries about any aspect of City Research Online, or if you wish to make contact with the author(s) of this paper, please email the team at publications@city.ac.uk.STM in ASD 1
Rasta-Plp Speech Analysis
, 1991
"... Most speech parameter estimation techniques are easily influenced by the frequency response of the communication channel. We have developed a technique that is more robust to such steady-state spectral factors in speech. The approach is conceptually simple and computationally efficient. The new meth ..."
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Cited by 20 (1 self)
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Linear Predictive (PLP) speech analysis technique [1] is based on the short-term spectrum of speech. Even though the short-term spectrum of speech is subsequently modified by several psychophysically based spectral transformations, the PLP technique (just like most other short-term spectrum based
Phonological short-term memory and vocabulary development: further evidence on the nature of the relationship
- Appl Cogn Psychol
, 1999
"... The nature and generality of the developmental association between phonological short-term memory and vocabulary knowledge was explored in two studies. Study 1 investigated whether the link between vocabulary and verbal memory arises from the requirement to articulate memory items at recall or from ..."
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Cited by 68 (9 self)
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was found to be as strong for the serial recognition as recall-based measures, favouring the view that it is phonological short-term memory capacity rather than speech output skills which constrain word learning. In Study 2, the association between phonological memory skills and vocabulary knowledge
Y.: Recognizing Emotions in Speech Using Short-term and Long-term Features
- In: Proceedings of the International Conference on Spoken Language Processing. Volume 6
, 1998
"... The acoustic characteristics of speech are influenced by speakers ’ emotional status. In this study, we attempted to recognize the emotional status of individual speakers by using speech features that were extracted from short-time analysis frames as well as speech features that represented entire u ..."
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Cited by 17 (0 self)
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utterances. Principal component analysis was used to analyze the importance of individual features in representing emotional categories. Three classification methods including vector quantization, artificial neural networks and Gaussian mixture density model were used. Classifications using short-term
Noise Spectrum Estimation in Adverse Environments: Improved Minima . . .
- IEEE TRANSACTIONS ON SPEECH AND AUDIO PROCESSING
, 2003
"... Noise spectrum estimation is a fundamental component of speech enhancement and speech recognition systems. In this paper, we present an Improved Minima Controlled Recursive Averaging (IMCRA) approach, for noise estimation in adverse environments involving non-stationary noise, weak speech components ..."
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Cited by 126 (12 self)
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Noise spectrum estimation is a fundamental component of speech enhancement and speech recognition systems. In this paper, we present an Improved Minima Controlled Recursive Averaging (IMCRA) approach, for noise estimation in adverse environments involving non-stationary noise, weak speech
Sub-Band Based Recognition Of Noisy Speech
- in Proc. of ICASSP'97, (Munich
, 1997
"... A new approach to automatic speech recognition based on independent class-conditional probability estimates in several frequency sub-bands is presented. The approach is shown to be especially applicable to environments which cause partial corruption of the frequency spectrum of the signal. Some of t ..."
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Cited by 67 (5 self)
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(ASR) consists of a series of feature vectors, each vector representing the entire short-term frequency spectrum at a given time instant. Even one or a few corrupted elements in the feature vector lead to severe degradation of the recognition performance. Earlier work by Fletcher on articulatory index
Results 11 - 20
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3,078