download speech recognition macros for xp
Báo cáo khoa học: "AN AUTOMATIC SPEECH RECOGNITION SYSTEM FOR ITALIAN LANGUAGE" doc
Ngày tải lên :
01/04/2014, 00:20
... dependent on any
W. Then, the recognition task can be decomposed in these
problems:
1. perform an acoustic processing able to extract from the
speech signal an information A representative of ... vector.
Therefore, the acoustic information ,4 is formed by a
sequence of labels al, a2,"" , with a considerable reduction
in the amount of data needed to represent the speech signal. ... AN AUTOMATIC SPEECH RECOGNITION SYSTEM FOR T! IE ITALIAN LANGUAGE
Paolo D'Orta, Marco Ferretti, Alessandro Martelli,...
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Tài liệu Báo cáo khoa học: "Learning Sub-Word Units for Open Vocabulary Speech Recognition" doc
Ngày tải lên :
20/02/2014, 04:20
... hybrid sys-
tem for open vocabulary speech recognition. Rather
than relying on the text alone, we also utilize side
information: a mapping of words to classes so we
can optimize learning for a specific ... gradient takes the usual form, where we en-
courage the expected segmentation from the current
model given the correct labels to equal the expected
segmentation and expected labels. The next ... = 40 itera-
tions for learning and 200 samples to compute the
expectations in Eq. 5. The sampler was initialized
by sampling for 500 iterations with deterministic an-
nealing for a temperature...
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Tài liệu Báo cáo khoa học: "Improving Automatic Speech Recognition for Lectures through Transformation-based Rules Learned from Minimal Data" ppt
Ngày tải lên :
20/02/2014, 07:20
... 55.16
Table 5: Experimental evaluation: WER values for instructor K using the WSJ-5K language model.
hours
4
for a threshold of 2 when training over tran-
scripts for one third of a lecture. Therefore, ... 40.08 43.31 41.52
Table 3: Experimental evaluation: WER values for instructor R using the WEB language models.
As for how the transcripts improve, words with
lower information content (e.g., a ... tran-
scripts for lectures. Section 3 describes our exper-
imental setup, and Section 4 analyses its results.
2 Transformation-Based Learning
Brill’s tagger introduced the concept of
Transformation-Based...
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Tài liệu Báo cáo khoa học: "Discriminative Syntactic Language Modeling for Speech Recognition" pdf
Ngày tải lên :
20/02/2014, 15:20
... that we used in
our experiments. Section 4 describes experiments
using the approach.
2 Background
2.1 Previous Work
Techniques for exploiting stochastic context-free
grammars for language modeling ... are a first step in
examining the potential utility of syntactic features
for discriminative language modeling for speech
recognition. We tried two possible sets of features
derived from the full ... Using a stochastic context-free grammar as a lan-
guage model for speech recognition. In Proceedings of the
IEEE Conference on Acoustics, Speech, and Signal Process-
ing, pages 189–192.
John Lafferty,...
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Tài liệu Báo cáo khoa học: "A Method for Correcting Errors in Speech Recognition Using the Statistical Features of Character Co-occurrence" pptx
Ngày tải lên :
20/02/2014, 18:20
... correct string for the string
between A and B in the Error-String (see figure 2-3).
3. Evaluation
3.1 Data Condition for Experiments
Results of Speech Recognition: We used 4806
recognition ... integrating recognition and translation into a speech
translation system, the development of the following
processes is therefore important: (1) detection of errors in
speech recognition results; ... to correct the errors in the results of
speech recognition to increase the performance of a
speech translation system. This paper proposes a
method for correcting errors using the statistical...
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Tài liệu Báo cáo khoa học: "A Finite-Slate Parser for Use in Speech Recognition" pdf
Ngày tải lên :
21/02/2014, 20:20
...
invariants; allophonic variation is traditionally seen as problematic for
recognition.
(I)
"In most systems for sentence recognition, such modifications
must be viewed as a kind of 'noise' ... before the labial stop /p/, the
cor9nal nasal/n/ before the coronal stop/t/, and the velar nasal/7//
before the velar stop/k/. This constraint, like subject-verb agreement.
poses a problem for ...
This view of allophonic variation is representative of much of the
speech recognition literature, especially during the ARPA speech
project. One can find similar statements by Cole and Jakim~k...
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Tài liệu Báo cáo khoa học: "Web augmentation of language models for continuous speech recognition of SMS text messages" docx
Ngày tải lên :
22/02/2014, 02:20
... 2.2.1) for the same number of queries. Also
results from language modeling and speech recog-
nition experiments favored statistical querying.
2.3 Web collections obtained
For the speech recognition ... rates were 17.0 for En-
glish, 18.7 for Spanish, and 22.5 for French.
For English, we also created web mixture mod-
els with KN smoothing. The error rates were 16.5,
15.9 and 15.7 for the 20 MB, ... Continuous
speech recognition experiments are con-
ducted on three languages: English, Span-
ish, and French. The web data is utilized
for augmenting in-domain LMs in general
and for adapting...
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Báo cáo khoa học: "Vocabulary Decomposition for Estonian Open Vocabulary Speech Recognition" ppt
Ngày tải lên :
08/03/2014, 02:21
... problem
Open vocabulary speech recognition refers to au-
tomatic speech recognition (ASR) of continuous
speech, or speech- to-text” of spoken language,
where the recognizer is expected to recognize ... Technology for help in
performing experiments with Estonian speech and
text databases. This work was supported by the
Academy of Finland in the project: New adaptive
and learning methods in speech recognition.
References
Bernard ... Computational Model for Word-Form
Recognition and Production. University of Helsinki,
Helsinki, Finland.
Tanel Alumäe. 2006. Methods for Estonian Large Vo-
cabulary Speech Recognition. PhD Thesis....
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Báo cáo khoa học: "A Preference-first Language Processor Integrating the Unification Grammar and Markov Language Model for Speech Recognition-ApplicationS" potx
Ngày tải lên :
08/03/2014, 07:20
... vocabulary environment. An experimental
system for Mandarin speech recognition has been
implemented (Lee, 1990) and tested, in which a very
high correct rate of recognition (93.8%) was obtained ...
Unification Grammar and Markov Language Model
for Continuous Speech Recognition. Proceedings of
the IEEE 990 International Conference on Acoustics,
Speech and Signal Processing, Albuquerque, NM, ... (1986). An Efficient Word Lattice
Parsing Algorithm for Continuous Speech
Recognition. Proceedings of the 1986 International
Conference on Acoustic, Speech and Signal
Processing, pp. 1569-1572....
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Báo cáo khoa học: "Grounded Language Modeling for Automatic Speech Recognition of Sports Video" doc
Ngày tải lên :
17/03/2014, 02:20
...
Wactlar, H., Witbrock, M., Hauptmann, A., (1996 ).
Informedia: News-on-Demand Experiments in
Speech Recognition. ARPA Speech Recognition
Workshop, Arden House, Harriman, NY.
Witten, I. and Frank, ... evaluate the performance of our
grounded language model on a speech recognition
task using video highlights from Major League
Baseball games. Results indicate improved per-
formance using three ... transcription.
For example, if the ASR output contains the
term sequence “… and farther home run for David
forty says…” and the closed captioning contains
the sequence “…another home run for David...
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Báo cáo khoa học: "WordNet-based Semantic Relatedness Measures in Automatic Speech Recognition for Meetings" doc
Ngày tải lên :
17/03/2014, 04:20
... this paper the best performing measures
from (Pucher, 2005), which outperform baseline
models on word prediction for conversational tele-
phone speech are used for Automatic Speech Recog-
nition ... conversational speech. The JCN (Sec-
tion 2.1) measure performs best for nouns using the
noun-context. The LESK (Section 2.1) measure per-
forms best for verbs and adjectives using a mixed
word-context.
Text-based ... 129–132,
Prague, June 2007.
c
2007 Association for Computational Linguistics
WordNet-based Semantic Relatedness Measures in Automatic Speech
Recognition for Meetings
Michael Pucher
Telecommunications...
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Báo cáo khoa học: "Using Chunk Based Partial Parsing of Spontaneous Speech in Unrestricted Domains for Reducing Word Error Rate in Speech Recognition" potx
Ngày tải lên :
23/03/2014, 19:20
... Spontaneous Speech in Unrestricted Domains for
Reducing Word Error Rate in Speech Recognition
Klaus Zechner and Alex Waibel
Language Technologies Institute
Carnegie Mellon University
5000 Forbes ...
type
1453
data set
eval21
test
best expected
performance WER gain
+2.0 +0.5
+0.3 -4.9
Table 3: WER gain: best results in neural
net experiments for two test sets (in absolute
%)
The ...
representations were the
only
source of information
for our reranking system, in addition to the internal
scores of the speech recognizer. It can be expected
that including more sources of knowledge,...
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Báo cáo khoa học: "Practical Issues in Compiling Typed Unification Grammars for Speech Recognition" ppt
Ngày tải lên :
31/03/2014, 04:20
... coorelate
with poor recognition performance, and that size
of the resuling language model does not appear to
directly coorelate with recognition performance.
We have developed new techniques for further ... Jan-
uary 2001.
World Wide Web Consortium (W3C). Speech
Recognition Grammar Specification for
the W3C Speech Interface Framework.
http://www.w3.org/TR /speech- grammar, 2001.
As of 3 January 2001.
... the input to the speech recognizer.
In our experience, each of the compilation stages,
as well as speech recognition itself, has the po-
tential to lead to a combinatorial explosion that
exceeds...
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Báo cáo khoa học: "User Simulations for context-sensitive speech recognition in Spoken Dialogue Systems" potx
Ngày tải lên :
31/03/2014, 20:20
... in-
formation extracted from speech waveforms, to-
gether with information derived from their speech
recognizer, to automatically predict misrecog-
nized turns in a corpus of train-timetable informa-
tion ... is 18.17% and for the ’pos’ 8.9%, all
in all a lot larger than for the other categories.
9.2 Second Layer: Re-ranker Experiments
In these experiments we measure WER, DMA
and SA for the system ... was
initially performed (see table 3).
As a result, we chose to use this grouping for
the final 4 feature sets on which the classifier
experiments were performed, in the following
order:
Experiment 1:...
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techniques for noise robustness in automatic speech recognition
Ngày tải lên :
03/05/2014, 20:50
... we now return to the subject of HMM-based speech recognition. To recap, we restate
the Bayesian formulation for the speech- recognition problem: given a speech recording
X,the
sequence of words
ˆw
1
, ... to consider is the representation of the speech signal itself. Speech recognition
is not performed directly with the speech signal. The information in speech is primarily in
its spectral content ... 168mm
26 Techniques for Noise Robustness in Automatic Speech Recognition
/IH//S/ /NG//AO//NG/ /S/
Figure 2.9 Illustrating the composition of HMMs for word sequences from the HMMs for smaller units.
Here,...
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