NDLI: Improving speech detection robustness for wireless speech recognition

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2015 IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU)

2013 IEEE Workshop on Automatic Speech Recognition and Understanding

2011 IEEE Workshop on Automatic Speech Recognition & Understanding

2009 IEEE Workshop on Automatic Speech Recognition & Understanding

2007 IEEE Workshop on Automatic Speech Recognition & Understanding (ASRU)

IEEE Workshop on Automatic Speech Recognition and Understanding, 2005.

2003 IEEE Workshop on Automatic Speech Recognition and Understanding (IEEE Cat. No.03EX721)

IEEE Workshop on Automatic Speech Recognition and Understanding, 2001. ASRU '01.

1997 IEEE Workshop on Automatic Speech Recognition and Understanding Proceedings

1997 IEEE Workshop on Automatic Speech Recognition and Understanding Proceedings

Synergistic modalities for human/machine communication

Design and evaluation of spoken dialog systems

Voice input for collaborative systems

Pronunciation modelling for conversational speech recognition: a status report from WS97

Flexible transcription alignment

Deriving phrase-based language models

Phrase language models for detection and verification-based speech understanding

From stochastic speech recognition to understanding: an HMM-based approach

Investigating a mixed-initiative dialogue management strategy

Learning dialogue strategies within the Markov decision process framework

User modeling for spoken dialogue system evaluation

Automatic detection of discourse structure for speech recognition and understanding

Run-time discourse processing to supplement incomplete ASR

A dynamic, feature-based approach to speech modeling and recognition

Progress towards speech models that model speech

Spectral subband centroids as features for speech recognition

Extracting dynamic features using the stochastic matching pursuit algorithm for speech event detection

The modulation spectrum in the automatic recognition of speech

Joint distributional modeling with cross-correlation based features

A tonotopic artificial neural network architecture for phoneme probability estimation

ACID/HNN: a framework for hierarchical connectionist acoustic modeling

Minimum classification error factor analysis (MCE-FA) for automatic speech recognition

Using expanded question sets in decision tree clustering for acoustic modelling

A fast segmental clustering approach to decision tree tying based acoustic modeling

Phone-context specific gender-dependent acoustic-models for continuous speech recognition

Combined optimisation of baseforms and model parameters in speech recognition based on acoustic subword units

Syllable-a promising recognition unit for LVCSR

Integrating multiple knowledge sources for utterance verification in a large vocabulary speech understanding system

Discriminative training of the pronunciation networks

A whole sentence maximum entropy language model

Discriminative model combination

Language modeling for robust balancing of acoustic and linguistic probabilities

Analyzing and predicting language model improvements

A statistical language modeling approach integrating local and global constraints

Flexible human speech recognition

Progress in dynamic programming search for LVCSR

Search organization in the Whisper continuous speech recognition system

A new hybrid decoding algorithm for speech recognition and utterance verification

Efficient word-graph parsing and search with a stochastic context-free grammar

Techniques to achieve fast lexical access

Decision-tree based feature-space quantization for fast Gaussian computation

Variable threshold vector quantization for reduced continuous density likelihood computation in speech recognition

Stream derivation and clustering scheme for subspace distribution clustering hidden Markov model

A post-processing system to yield reduced word error rates: Recognizer Output Voting Error Reduction (ROVER)

Adaptive compensation for robust speech recognition

Robust speech recognition with time-varying filtering, interruptions, and noise

Sequential Bayesian learning of CDHMM based on finite mixture approximation of its prior/posterior density

Structural MAP speaker adaptation using hierarchical priors

Application of sequential estimation to time-varying environment compensation [in speech recognition]

Jacobian adaptation of noisy speech models

Stressed speech recognition using multi-dimensional hidden Markov models

Adaptation of HMMS in the presence of additive and convolutional noise

Frame-synchronous adaptation of cepstrum by linear regression

Improving speech detection robustness for wireless speech recognition

Phonetically adaptive cepstrum mean normalization for acoustic mismatch compensation

A novel speaker adaptation algorithm and its implementation on a RISC microprocessor

A speech enhancement approach E-CMN/CSS for speech recognition in car environments

Speaker independent speech recognition method with constrained time alignment near phoneme discriminative frame

Design of robust HMM speech recognizers using deterministic annealing

Robust speech recognition using maximum likelihood neural networks and continuous density hidden Markov models

Unsupervised, smooth training of feed-forward neural networks for mismatch compensation

Experiments of hands-free connected digit recognition using a microphone array

Applications of speech recognition in the area of telecommunications

Ten case studies of the effect of field conditions on speech recognition errors

Event tracking and text segmentation via hidden Markov models

Topic extraction based on continuous speech recognition in broadcast-news speech

Combined models for topic spotting and topic-dependent language modeling

Domain identification and keyword extraction of radio news using term weighting

New word detection in audio-indexing

Directory name retrieval using HMM modeling and robust lexical access

With a little help from the database-developing voice-controlled directory information systems

Key challenges in deploying a voice activated premier dialing application

Empirical evaluation of interactive multimodal error correction

Towards a universal speech recognizer for multiple languages

A multilingual phoneme and model set: toward a universal base for automatic speech recognition

On cross-language experiments and data-driven units for ALISP (Automatic Language Independent Speech Processing)

A study on subword modeling for utterance verification in Mexican Spanish

Automatic evaluation of Dutch pronunciation by using speech recognition technology

Improving speech detection robustness for wireless speech recognition

Content Provider	IEEE Xplore Digital Library
Author	Karray, L. Mauuary, L.
Copyright Year	1997
Description	Author affiliation: CNET, Lannion, France (Karray, L.)
Abstract	The use of speech recognition systems shows that noise and channel effects are very disturbing, and an efficient detection of speech/non-speech segments is necessary. Preprocessing the speech signal is one of the adopted solutions to improve recognition performance. In this paper, spectral subtraction is used as a preprocessing technique aiming to increase the robustness to noisy conditions. Results of several experiments carried out on a database collected over a GSM network show that spectral subtraction improves the global recognizer performance, especially in very noisy environments. We show that the improvements concern mainly noise/speech detection modules.
Starting Page	428
Ending Page	435
File Size	442071
Page Count	8
File Format	PDF
ISBN	0780336984
DOI	10.1109/ASRU.1997.659120
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1997-12-17
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Speech recognition Speech enhancement Working environment noise Noise robustness Automatic speech recognition Speech analysis Databases Noise reduction Signal to noise ratio Automata
Content Type	Text
Resource Type	Article

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