1 |
Invited Speaker Support for SBP Conference Series (SBP 2014) held in April, 2014 in Washington, DC.
|
|
|
|
BASE
|
|
Show details
|
|
2 |
Controlled English for Effective Communication during Coalition Operations
|
|
|
|
In: DTIC (2013)
|
|
BASE
|
|
Show details
|
|
3 |
Using a Bayesian Model to Combine LDA Features with Crowdsourced Responses
|
|
|
|
In: DTIC (2013)
|
|
BASE
|
|
Show details
|
|
5 |
An Approach Using MIP Products for the Development of the Coalition Battle Management Language Standard
|
|
|
|
In: DTIC (2013)
|
|
BASE
|
|
Show details
|
|
7 |
Automated Extraction and Characterisation of Social Network Data from Unstructured Sources -- An Ontology-Based Approach
|
|
|
|
In: DTIC (2013)
|
|
BASE
|
|
Show details
|
|
8 |
Interacting with Multi-Robot Systems Using BML
|
|
|
|
In: DTIC (2013)
|
|
BASE
|
|
Show details
|
|
9 |
Making Semantic Information Work Effectively for Degraded Environments
|
|
|
|
In: DTIC (2013)
|
|
BASE
|
|
Show details
|
|
10 |
Accelerating Exploitation of Low-grade Intelligence through Semantic Text Processing of Social Media
|
|
|
|
In: DTIC (2013)
|
|
BASE
|
|
Show details
|
|
12 |
QUT Para at TREC 2012 Web Track: Word Associations for Retrieving Web Documents
|
|
|
|
In: DTIC (2012)
|
|
BASE
|
|
Show details
|
|
13 |
Phoneme Class Based Adaptation for Mismatch Acoustic Modeling of Distant Noisy Speech (Preprint)
|
|
|
|
In: DTIC (2012)
|
|
Abstract:
A new adaptation strategy for distant noisy speech is created by phoneme class based approaches for context independent acoustic models. Unlike the previous approaches such as MLLR-MAP adaptation which adapts acoustic model to the features, our phoneme-class based adaptation (PCBA) adapts the distant data features to our acoustic model which has trained on close microphone TIMIT sentences. The essence of PCBA is to create a transformation strategy which makes the distribution of phoneme-classes of distant noisy speech be similar to those of close microphone acoustic model in thirteen dimensional MFCC space (mostly in c0-c1 plane). It creates a mean, orientation and variance adaptation scheme for each phoneme class to compensate the mismatch. New adapted features and new and improved acoustic models which are produced by PCBA are outperforming those created by MLLR-MAP adaptation for ASR and KWS. And PCBA offers a new powerful understanding in acoustic-modeling of distant speech. ; The original document contains color images. This paper was accepted for publication in the Proceedings of Interspeech, Portland, Oregon, 9-13 Sept-2012.
|
|
Keyword:
*PHONEMES; *SPEECH; ACOUSTIC EQUIPMENT; ACOUSTIC MODELING; ACOUSTICS; ADAPTATION; DISTRIBUTION; Linguistics; MEAN; MODELS; PE35885G; PHONEME ANALYSIS; SPEECH ADAPTATION; STRATEGY; SYMPOSIA; TRAINING; WUAFRL3188BA
|
|
URL: http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA568361 http://www.dtic.mil/docs/citations/ADA568361
|
|
BASE
|
|
Hide details
|
|
14 |
Conference Report: Cultural and Linguistic Advancement for Mission Success: Enhancing Language, Regional and Cultural Capabilities Across Whole of Government for an Effective COIN Strategy
|
|
|
|
In: DTIC (2012)
|
|
BASE
|
|
Show details
|
|
15 |
Integrating Hard and Soft Information Sources for D2D Using Controlled Natural Language
|
|
|
|
In: DTIC (2012)
|
|
BASE
|
|
Show details
|
|
16 |
Aligning Learning Capability with Strategy: A Training Needs Assessment (TNA) Case Study
|
|
|
|
In: DTIC (2012)
|
|
BASE
|
|
Show details
|
|
17 |
Learning for Microblogs with Distant Supervision: Political Forecasting with Twitter
|
|
|
|
In: DTIC (2012)
|
|
BASE
|
|
Show details
|
|
18 |
Incremental Syntactic Language Models for Phrase-Based Translation
|
|
|
|
In: DTIC (2011)
|
|
BASE
|
|
Show details
|
|
19 |
Feasibility of Leveraging Crowd Sourcing for the Creation of a Large Scale Annotated Resource for Hindi English Code Switched Data: A Pilot Annotation
|
|
|
|
In: DTIC (2011)
|
|
BASE
|
|
Show details
|
|
20 |
Segregation of Whispered Speech Interleaved with Noise or Speech Maskers
|
|
|
|
In: DTIC (2011)
|
|
BASE
|
|
Show details
|
|
|
|