Frank Fallside

发表

Neural networks and radial basis functions in classifying static speech patterns

Mahesan Niranjan, Frank Fallside, M. Niranjan, 1990 .

Comparison of neural and conventional classifiers on a speech recognition problem

Richard W. Prager, Frank Fallside, M. D. Bedworth, 1989 .

Computer speech processing

Frank Fallside, William A. Woods, F. Fallside, 1985 .

Fully vector-quantized neural network-based code-excited nonlinear predictive speech coding

Lizhong Wu, Mahesan Niranjan, Frank Fallside, 1994, IEEE Trans. Speech Audio Process..

Temporal decomposition: a framework for enhanced speech recognition

Mahesan Niranjan, Frank Fallside, M. Niranjan, 1989, International Conference on Acoustics, Speech, and Signal Processing,.

Dynamic Programming in the Recognition of Connected Handwritten Script

Frank Fallside, K. H. Wong, 1985, CAIA.

A polynomial vocal tract model for speech synthesis

Frank Fallside, S. N. Terepin, 1982, ICASSP.

Application of the compositional representation to lexical access using neural networks

Frank Fallside, H. Lucke, 1990, ICSLP.

A prototype, integrated, CAD-based robotic assembly system

Frank Fallside, M. R. Jahanbin, Tim Marsland, 1989, Proceedings, 1989 International Conference on Robotics and Automation.

On the Use of Quasilinearization for the Solution of Sub-Problems in On-Line Hierarchical Control and its Application to a Water Distribution Network

Frank Fallside, P. F. Perry, F. Fallside, 1975, Optimization Techniques.

The optimal gain sequence for fastest learning in connectionist vector quantiser design

Lizhong Wu, Frank Fallside, 1990, ICSLP.

Recognition of isolated prosodic patterns using Hidden Markov Models

Andrej Ljolje, Frank Fallside, F. Fallside, 1987 .

Multipulse-excited channel vocoder

Frank Fallside, A. Crossman, 1987, ICASSP '87. IEEE International Conference on Acoustics, Speech, and Signal Processing.

A neural network based, speaker independent, large vocabulary, continuous speech recognition system: the WERNICKE project

Yochai Konig, Marco Saerens, João Paulo da Silva Neto, 1993, EUROSPEECH.

Modelling of speech using primarily prosodic parameters

Andrej Ljolje, Frank Fallside, 1987 .

Speech Feature Extraction Using Neural Networks

Mahesan Niranjan, Frank Fallside, 1990, EURASIP Workshop.

Multipulse linear predictive synthesis in text‐to‐speech systems

Frank Fallside, Andrew Varga, 1985 .

Real-time areagraph of continuous speech for analysis and speech training

Frank Fallside, Susan Brooks, 1976 .

The modified Kanerva model: theory and results for real-time word recognition

Richard W. Prager, Frank Fallside, T.J.W. Clarke, 1991 .

Computer display of vowel quadrilateral with real-time representation of articulation

Frank Fallside, G. J. Bristow, 1978 .

The effect of receptor signal-to-noise levels on optimal filtering in a sensory system

Mark D. Plumbley, Frank Fallside, 1991, [Proceedings] ICASSP 91: 1991 International Conference on Acoustics, Speech, and Signal Processing.

A technique for using multipulse linear predictive speech synthesis in text-to-speech type systems

Frank Fallside, Andrew Varga, 1987, IEEE Trans. Acoust. Speech Signal Process..

Generation and adaptation of neural networks by evolutionary techniques (GANNET)

Mark D. Plumbley, Richard W. Prager, Frank Fallside, 2005, Neural Computing & Applications.

Off-line Handwriting Recognition by Recurrent Error Propagation Networks

Frank Fallside, Andrew W. Senior, 1992, BMVC.

A comparison of the Boltzmann machine and the back propagation network as recognizers of static speech patterns

Richard W. Prager, Frank Fallside, 1987 .

Lexical stress recognition using hidden Markov models

Frank Fallside, G. J. Freij, F. Fallside, 1988, ICASSP-88., International Conference on Acoustics, Speech, and Signal Processing.

An experimental, expert systems, constrained recogniser using feature duration

Frank Fallside, Michael Allerhand, P. Hinds, 1983, Speech Commun..

Off-line Handwriting Recognition by Recurrent Error Propagation Networks

Frank Fallside, Andrew W. Senior, 1992 .

On the acquisition of speech by machines, asm

Frank Fallside, 1991, Speech Commun..

A theoretical investigation into the performance of the Hopfield model

Mahesan Niranjan, Frank Fallside, Sreeram V. B. Aiyer, 1990, IEEE Trans. Neural Networks.

Generating words and prosody for use in speech synthesis

Frank Fallside, Nick J. Youd, 1987, ECST.

Lexical stress estimation and phonological knowledge

Frank Fallside, C. E. Hoequist, Francis Nolan, 1990 .

An adaptive training algorithm for back propagation networks

Frank Fallside, Lai-Wan Chan, F. Fallside, 1987 .

Using constrained snakes for feature spotting in off-line cursive script

Frank Fallside, Andrew W. Senior, 1993, Proceedings of 2nd International Conference on Document Analysis and Recognition (ICDAR '93).

On modelling the dynamics of speech patterns

Mahesan Niranjan, Frank Fallside, 1987, ECST.

Lexical access using a recurrent error propagation network

Anthony J. Robinson, Richard W. Prager, Frank Fallside, 1991, EUROSPEECH.

'Blade Runner': A real-time speech recognizer

Richard W. Prager, Frank Fallside, Tim Marsland, 1991, Concurr. Pract. Exp..

Frequency-domain analysis of speech

Frank Fallside, F. Fallside, 1986 .

Synfrec: speech synthesis from recognition using neural networks

Frank Fallside, 1990, SSW.

An autocorrelation pitch detector with error correction

Frank Fallside, Geoff J. Bristow, 1982, ICASSP.

Speaker identification by multivariable linear prediction analysis

Frank Fallside, 1976, ICASSP.

Temporal reasoning: a solution for multiple agent collision avoidance

Frank Fallside, Craig MacNish, F. Fallside, 1990, Proceedings., IEEE International Conference on Robotics and Automation.

Dynamic reinforcement driven error propagation networks with application to game playing

Frank Fallside, Tony Robinson, F. Fallside, 1989 .

Analysis and areas modelling of Nasalised speech by a multivariable identification technique

Frank Fallside, S. Brooks, 1976, ICASSP.

Boltzmann machines for speech recognition

T. D. Harrison, Richard W. Prager, Frank Fallside, 1986 .

Speech processing in human‐machine interaction: Research in the United Kingdom

Frank Fallside, 1988 .

Phoneme Recognition from the TIMIT database using Recurrent Error Propa-gation Networks

Frank Fallside, Tony Robinson, F. Fallside, 1990 .

Analysis of linear predictive data as speech and of ARMA processes by a class of single-layer connectionist models

Frank Fallside, F. Fallside, 1989, NATO Neurocomputing.

The modified Kanerva model for automatic speech recognition

Richard W. Prager, Frank Fallside, 1989 .

A hidden Markov model structure for the acquisition of speech by machine, ASM

Frank Fallside, 1992, ICSLP.

Sequential Adaptation of Radial Basis Function Neural Networks and its Application to Time-series Prediction

Visakan Kadirkamanathan, Mahesan Niranjan, Frank Fallside, 1990, NIPS 1990.

Sequential Adaptation of Radial Basis Function Networks

Visakan Kadirkamanathan, Mahesan Niranjan, Frank Fallside, 1990, NIPS.

Expanding the vocabulary of a connectionist recognizer trained on the DARPA Resource Management corpus

Frank Fallside, H. Lucke, F. Fallside, 1992, [Proceedings] ICASSP-92: 1992 IEEE International Conference on Acoustics, Speech, and Signal Processing.

A speech training aid for the deaf with display of voicing, frication and silence

Frank Fallside, P. Hinds, E. M. Bate, 1982, ICASSP.

A recurrent error propagation network speech recognition system

Frank Fallside, Tony Robinson, F. Fallside, 1991 .

Short-time spectral and autocorrelation analysis in the Walsh domain

Frank Fallside, Mohamed N. Gulamhusein, 1973, IEEE Trans. Inf. Theory.

A comparison of preprocessors for the cambridge recurrent error propagation network speech recognition system

John Holdsworth, Frank Fallside, Tony Robinson, 1990, ICSLP.

Driving a speech synthesizer from conceptual input in the context of a voice dialogue system

Frank Fallside, Nick J. Youd, 1989, EUROSPEECH.

On the design of connectionist vector quantizers

Lizhong Wu, Frank Fallside, 1991 .

Models of dynamic complexity for time-series prediction (neural networks)

Visakan Kadirkamanathan, Mahesan Niranjan, Frank Fallside, 1992, [Proceedings] ICASSP-92: 1992 IEEE International Conference on Acoustics, Speech, and Signal Processing.

On the Analysis of Predictive Data such as Speech by a Class of Single Layer Connectionist Models

Frank Fallside, 1996 .

A unified syntax direction mechanism for automatic speech recognition systems using hidden Markov models

Frank Fallside, S. C. Austin, 1989, International Conference on Acoustics, Speech, and Signal Processing,.

Synthesis of natural sounding pitch contours in isolated utterances using hidden Markov models

Andrej Ljolje, Frank Fallside, 1986, IEEE Trans. Acoust. Speech Signal Process..

Frame compression in hidden Markov models

Frank Fallside, S. C. Austin, F. Fallside, 1988, ICASSP-88., International Conference on Acoustics, Speech, and Signal Processing.

Neural Networks for Continuous Speech Recognition

Frank Fallside, F. Fallside, 1992 .

The modelling of F0 contours

Frank Fallside, Roger M. Meli, 1982, ICASSP.

Source coding and vector quantization with codebook-excited neural networks

Lizhong Wu, Frank Fallside, F. Fallside, 1992 .

AI Techniques and Concepts for the Integration of Robot Vision and 3D Solid Modellers

Frank Fallside, Amir S. Tabandeh, 1986, IAS.

Non-linear time compression for lexical access

Richard W. Prager, Frank Fallside, N. H. Russell, 1993, EUROSPEECH.

The modified Kanerva model: results for real time word recognition

Richard W. Prager, Frank Fallside, T.J.W. Clarke, 1989 .

SPEECH RECOGNITION FOR THE TIMIT DATABASE USING NEURAL NETWORKS

Anthony J. Robinson, Richard W. Prager, Frank Fallside, 1990 .

Control system design by pole-zero assignment : based on papers presented at a working party at Cambridge University, September, 1974

Frank Fallside, 1977 .