Centre for Speech Technology Research

Research output

Research output per year 1995 2021

• 591 Conference contribution
• 126 Article
• 13 Chapter
• 5 Chapter (peer-reviewed)
• 29 More
  • 4 Book
  • 4 Other chapter contribution
  • 4 Working paper
  • 3 Paper
  • 3 Poster
  • 2 Special issue
  • 2 Doctoral Thesis
  • 1 Entry for encyclopedia/dictionary
  • 1 Foreword/postscript
  • 1 Other
  • 1 Editorial
  • 1 Literature review
  • 1 Digital or Visual Products
  • 1 Other contribution

Research output per year

Research output per year

Search results

• 2021

  Double-DCCCAE: Estimation of body gestures from speech waveform

  Lu, J., Liu, T., Xu, S. & Shimodaira, H., 30 Jan 2021, (Accepted/In press) Proceedings of the 2021 IEEE International Conference on Acoustics, Speech and Signal Processing. Institute of Electrical and Electronics Engineers (IEEE), 5 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Motion estimation
  • Neural networks

• Generating Master Faces for Use in Performing Wolf Attacks on Face Recognition Systems

  H. Nguyen, H., Yamagishi, J., Echizen, I. & Marcel, S., 6 Jan 2021, 2020 IEEE International Joint Conference on Biometrics (IJCB). Institute of Electrical and Electronics Engineers (IEEE), p. 1-10 10 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  File

  • Face recognition
  • Authentication
  • Biometrics
  • Internet
  • Experiments

• Segmenting Subtitles for Correcting ASR Segmentation Errors

  Wan, D., Kedzie, C., Ladhak, F., Turcan, E., Galuščáková, P., Zotkina, E., Jiang, Z., Bell, P. & McKeown, K., 19 Apr 2021, Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume. Association for Computational Linguistics, p. 2842-2854 13 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  File

  • Acoustics
  • Query languages

• Speech Acoustic Modelling From Raw Phase Spectrum

  Loweimi, E., Cvetkovic, Z., Bell, P. & Renals, S., 30 Jan 2021, (Accepted/In press) 2021 IEEE International Conference on Acoustics, Speech and Signal Processing. Institute of Electrical and Electronics Engineers (IEEE), 5 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Acoustics
  • Speech recognition
  • Computer simulation
  • Information fusion

• Train your classifier first: Cascade Neural Networks Training from upper layers to lower layers

  Zhang, S., Do, C-T., Doddipatla, R., Loweimi, E., Bell, P. & Renals, S., 30 Jan 2021, (Accepted/In press) 2021 IEEE International Conference on Acoustics, Speech and Signal Processing. Institute of Electrical and Electronics Engineers (IEEE), 5 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Speech recognition
  • Classifiers
  • Neural networks
  • Deep neural networks
  • Freezing
• 2020

  Acoustic model adaptation from raw waveforms with Sincnet

  Fainberg, J., Klejch, O., Loweimi, E., Bell, P. & Renals, S., 20 Feb 2020, 2019 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU). Institute of Electrical and Electronics Engineers (IEEE), p. 897-904 8 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  File

  • Parameterization
  • Acoustics
  • Feature extraction
  • Neural networks

• A Deep 2D Convolutional Network for Waveform-Based Speech Recognition

  Oglic, D., Cvetkovic, Z., Bell, P. & Renals, S., 25 Oct 2020, Proceedings of Interspeech 2020. International Speech Communication Association, p. 1654-1658 5 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  File

  • Speech recognition
  • Acoustics
  • Modulation

• An unsupervised method to select a speaker subset from large multi-speaker speech synthesis datasets

  Gallegos, P. O., Williams, J., Rownicka, J. & King, S., 31 Oct 2020, Proceedings of the Annual Conference of the International Speech Communication Association. Vol. 2020-October. p. 1758-1762 5 p. (Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  • Speech Synthesis
  • Speech synthesis
  • Speech
  • Subset
  • Acoustics

• A sound engineering approach to near end listening enhancement

  Chermaz, C. & King, S., 31 Oct 2020, Proceedings of the Annual Conference of the International Speech Communication Association. Vol. 2020-October. p. 1356-1360 5 p. (Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  • Enhancement
  • Sound
  • Engineering
  • Acoustic waves
  • Speech

• Bootstrapping Non-Parallel Voice Conversion From Speaker-Adaptive Text-to-Speech

  Luong, H-T. & Yamagishi, J., 20 Feb 2020, 2019 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU). Institute of Electrical and Electronics Engineers (IEEE), p. 200-207 8 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  File

• Channel Adversarial Training for Speaker Verification and Diarization

  Luu, C., Bell, P. & Renals, S., 14 May 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Institute of Electrical and Electronics Engineers (IEEE), p. 7094-7098 5 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  File

  • Invariance
  • Experiments

• Cross Lingual Transfer Learning for Zero-Resource Domain Adaptation

  Abad Gareta, A., Bell, P., Carmantini, A. & Renals, S., 14 May 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Institute of Electrical and Electronics Engineers (IEEE), p. 6909-6913 5 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  File

  • Acoustics
  • Telephone
  • Experiments

• Deep Scattering Power Spectrum Features for Robust Speech Recognition

  Joy, N. M., Oglic, D., Cvetkovic, Z., Bell, P. & Renals, S., 25 Oct 2020, Proceedings of Interspeech 2020. International Speech Communication Association, p. 1673-1677 5 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  File

  • Power spectrum
  • Scattering
  • Speech recognition
  • Wavelet transforms
  • Acoustics

• DropClass and DropAdapt: Dropping classes for deep speaker representation learning

  Luu, C., Bell, P. & Renals, S., 18 May 2020, Proceedings of Odyssey 2020 The Speaker and Language Recognition Workshop. International Speech Communication Association, p. 357-364 8 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  File

  • Feature extraction
  • Tuning

• Embeddings for DNN speaker adaptive training

  Równicka, J., Bell, P. & Renals, S., 20 Feb 2020, 2019 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU). Institute of Electrical and Electronics Engineers (IEEE), p. 479-486 8 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  File

  • Network layers

• Enhancing Sequence-to-Sequence Text-to-Speech with Morphology

  Taylor, J. & Richmond, K., 25 Oct 2020, Interspeech 2020. Shanghai, China: International Speech Communication Association, 5 p. (Interspeech ).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  File

  • Speech synthesis
  • Acoustic waves

• European Language Grid: An Overview

  Rehm, G., Berger, M., Elsholz, E., Hegele, S., Kintzel, F., Marheinecke, K., Piperidis, S., Deligiannis, M., Galanis, D., Gkirtzou, K., Labropoulou, P., Bontcheva, K., Jones, D., Roberts, I., Hajic, J., Hamrlová, J., Kačena, L., Choukri, K., Arranz, V., Vasiļjevs, A. & 16 others, Anvari, O., Lagzdiņš, A., Meļņika, J., Backfried, G., Dikici, E., Janosik, M., Prinz, K., Prinz, C., Stampler, S., Thomas-Aniola, D., Manuel Gomez-Perez, J., Garcia Silva, A., Berrío, C., Germann, U., Renals, S. & Klejch, O., 16 May 2020, Proceedings of the 12th Conference on Language Resources and Evaluation (LREC 2020). European Language Resources Association (ELRA), p. 3366–3380 15 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  File

  • global player
  • market
  • pilot project
  • multilingualism
  • fragmentation

• Hider-finder-combiner: An adversarial architecture for general speech signal modification

  Webber, J. J., Perrotin, O. & King, S., 31 Oct 2020, Proceedings of the Annual Conference of the International Speech Communication Association. Vol. 2020-October. p. 3206-3210 5 p. (Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  • Speech Signal
  • Architecture
  • Control Parameter
  • Spectrogram
  • Signal Processing

• Learning Noise Invariant Features Through Transfer Learning for Robust End-to-End Speech Recognition

  Zhang, S., Do, C-T., Doddipatla, R. & Renals, S., 24 Jan 2020, (Accepted/In press) ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Institute of Electrical and Electronics Engineers (IEEE), p. 7024-7028 5 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  File

  • Speech recognition
  • Classifiers
  • Neural networks

• Multi-Scale Octave Convolutions for Robust Speech Recognition

  Równicka, J., Bell, P. & Renals, S., 14 May 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Institute of Electrical and Electronics Engineers (IEEE), p. 7019-7023 5 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  File

  • Convolution
  • Speech recognition
  • Low pass filters
  • Computational efficiency
  • Computer vision

• Multi-task Learning For Detecting and Segmenting Manipulated Facial Images and Videos

  H. Nguyen, H., Fang, F., Yamagishi, J. & Echizen, I., 3 Sep 2020, 2019 IEEE 10th International Conference on Biometrics Theory, Applications and Systems (BTAS). Institute of Electrical and Electronics Engineers (IEEE), 8 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  File

  • Digital storage
  • Supervised learning
  • Chemical activation
  • Tuning
  • Neural networks

• On the Robustness and Training Dynamics of Raw Waveform Models

  Loweimi, E., Bell, P. & Renals, S., 25 Oct 2020, Proceedings of Interspeech 2020. International Speech Communication Association, p. 1001-1005 5 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  File

  • Spectral resolution
  • Network performance
  • Speech recognition
  • Frequency response
  • Entropy

• On the usefulness of self-attention for automatic speech recognition with transformers

  Zhang, S., Loweimi, E., Bell, P. & Renals, S., 3 Nov 2020, (Accepted/In press) IEEE Spoken Language Technology Workshop (SLT 2021). Institute of Electrical and Electronics Engineers (IEEE), 8 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  File

  • Speech recognition
  • Acoustics

• Perception of prosodic variation for speech synthesis using an unsupervised discrete representation of F0

  Hodari, Z., Lai, C. & King, S., 24 May 2020, Proceedings of Speech Prosody 2020. p. 965-969

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  File

  • listener
  • emotion
  • learning
  • evaluation

• Prediction of Head Motion from Speech Waveforms with a Canonical-Correlation-Constrained Autoencoder

  Lu, J. & Shimodaira, H., 25 Oct 2020, INTERSPEECH 2020. International Speech Communication Association, p. 1301-1305 5 p. (Interspeech ).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  File

  • Neural networks

• Raw Sign and Magnitude Spectra for Multi-Head Acoustic Modelling

  Loweimi, E., Bell, P. & Renals, S., 25 Oct 2020, Proceedings of Interspeech 2020. International Speech Communication Association, p. 1644-1648 5 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  File

  • Speech recognition
  • Acoustics
  • Computer simulation
  • Fusion reactions

• Speaker adaptive training using model agnostic meta-learning

  Klejch, O., Fainberg, J., Bell, P. & Renals, S., 20 Feb 2020, 2019 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU). Institute of Electrical and Electronics Engineers (IEEE), p. 881-888 8 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  File

  • Neural networks
  • Acoustics

• Speaker-Independent Mel-cepstrum Estimation from Articulator Movements Using D-vector Input

  Katsurada, K. & Richmond, K., 25 Oct 2020, Proceedings of the Annual Conference of the International Speech Communication Association. Shanghai, China: ISCA, p. 3176-3180

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  File

• TaL: a synchronised multi-speaker corpus of ultrasound tongue imaging, audio, and lip videos

  Ribeiro, M. S., Sanger, J., Zhang, J-X., Eshky, A., Wrench, A., Richmond, K. & Renals, S., 3 Nov 2020, (Accepted/In press) IEEE Spoken Language Technology Workshop (SLT 2021). Institute of Electrical and Electronics Engineers (IEEE), 8 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  File

  • video
  • recording
  • acoustics
  • license
  • experience

• Testing the limits of representation mixing for pronunciation correction in end-to-end speech synthesis

  Fong, J., Taylor, J. & King, S., 31 Oct 2020, Proceedings of the Annual Conference of the International Speech Communication Association. Vol. 2020-October. p. 4019-4023 5 p. (Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  • Speech Synthesis
  • Text-to-speech
  • Speech synthesis
  • Testing
  • Speech

• The MGB-5 Challenge: Recognition and Dialect Identification of Dialectal Arabic Speech

  Ali, A., Shon, S., Samih, Y., Mubarak, H., Abdelali, A., Glass, J., Renals, S. & Choukri, K., 20 Feb 2020, 2019 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU). Institute of Electrical and Electronics Engineers (IEEE), p. 1026-1033 8 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  File

  • dialect
  • genre
  • broadcast
  • drama
  • edition

• The prosody of presupposition projection in naturally-occurring utterances

  Mahler, T., de Marneffe, M-C. & Lai, C., 17 Sep 2020, Proceedings of Sinn und Bedeutung 24 . p. 20-37 ( Proceedings of Sinn und Bedeutung ; vol. 24, no. 2).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  File

  • projection
  • pragmatics
  • semantics
• 2019

  A Comparison between Letters and Phones as Input to Sequence-to-Sequence Models for Speech Synthesis

  Fong, J., Taylor, J., Richmond, K. & King, S., 20 Sep 2019, Proceedings of the 10th ISCA Speech Synthesis Workshop. International Speech Communication Association, p. 223-227 5 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  File

  • Speech synthesis
  • Transcription
  • Speech analysis
  • Glossaries
  • Acoustics

• Analysis of pronunciation learning in end-to-end speech synthesis

  Taylor, J. & Richmond, K., 15 Sep 2019, Proceedings of Interspeech 2019. International Speech Communication Association, p. 2070-2074 5 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  File

  • Speech Synthesis
  • Speech synthesis
  • Sound
  • Learning
  • Acoustic waves

• Analyzing deep CNN-based utterance embeddings for acoustic model adaptation

  Równicka, J., Bell, P. & Renals, S., 14 Feb 2019, 2018 IEEE Spoken Language Technology Workshop (SLT). Institute of Electrical and Electronics Engineers (IEEE), p. 235-241 7 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  File

  • Acoustics
  • Neural networks
  • Deep neural networks
  • Acoustic noise
  • Speech recognition

• ASVspoof 2019: Future Horizons in Spoofed and Fake Audio Detection

  Todisco, M., Wang, X., Vestman, V., Sahidullah, M., Delgado, H., Nautsch, A., Yamagishi, J., Evans, N., Kinnunen, T. & Aik Lee, K., 19 Sep 2019, Proceedings Interspeech 2019. International Speech Communication Association, p. 1008-1012 5 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  File

  • detection
  • speech
  • participation
  • state of the art
  • protocol

• Attentive filtering networks for audio replay attack detection

  Lai, C-I., Abad, A., Richmond, K., Yamagishi, J., Dehak, N. & King, S., 17 Apr 2019, 2019 IEEE International Conference on Acoustics, Speech and Signal Processing. p. 6316-6320 (EEE International Conference on Acoustics, Speech, and Signal Processing).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  File

  • Fusion reactions
  • Classifiers

• Audiovisual Speaker Conversion: Jointly and Simultaneously Transforming Facial Expression and Acoustic Characteristics

  Fang, F., Wang, X., Yamagishi, J. & Echizen, I., 17 May 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Brighton, United Kingdom: Institute of Electrical and Electronics Engineers (IEEE), p. 6795-6799 5 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  File

  • Acoustics
  • Electric fuses
  • Image reconstruction
  • Acoustic waves
  • Neural networks

• Capsule-forensics: Using Capsule Networks to Detect Forged Images and Videos

  Nguyen, H. H., Yamagishi, J. & Echizen, I., 17 May 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Brighton, United Kingdom: Institute of Electrical and Electronics Engineers (IEEE), p. 2307-2311 5 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  File

  • Neural networks

• Cycle-consistent Adversarial Networks for Non-parallel Vocal Effort Based Speaking Style Conversion

  Seshadri, S., Juvela, L., Yamagishi, J., Rasanen, O. & Alku, P., 17 May 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Brighton, United Kingdom: Institute of Electrical and Electronics Engineers (IEEE), p. 6835-6839 5 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  File

• Detecting Topic-Oriented Speaker Stance in Conversational Speech

  Lai, C., Alex, B., Moore, J. D., Tian, L., Hori, T. & Francesca, G., 19 Sep 2019, Proceedings of Interspeech 2019. International Speech Communication Association, p. 46-50 5 p. (Interspeech).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  File

  • Acoustics
  • Neural networks
  • Experiments

• Direct F0 Estimation with Neural-Network-based Regression

  Xu, S. & Shimodaira, H., 19 Sep 2019, Proc. Interspeech 2019. International Speech Communication Association, p. 1995-1999 5 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  File

  • Neural networks
  • Speech synthesis
  • Speech analysis
  • Detectors
  • Classifiers

• Evaluating Near End Listening Enhancement Algorithms in Realistic Environments

  Chermaz, C., Valentini Botinhao, C., Schepker, H. & King, S., 19 Sep 2019, Proceedings Interspeech 2019. International Speech Communication Association, p. 1373-1377 5 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  File

  • Reverberation
  • Acoustic noise
  • Audition
  • Compensation and Redress

• Exemplar-based speech waveform generation for text-to-speech

  Valentini Botinhao, C., Watts, O., Espic Calderón, F. & King, S., 14 Feb 2019, 2018 IEEE Workshop on Spoken Language Technology (SLT). Institute of Electrical and Electronics Engineers (IEEE), p. 332-338 7 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  File

  • Speech synthesis
  • Large dataset
  • Acoustics
  • Degradation

• GELP: GAN-Excited Liner Prediction for Speech Synthesis from Mel-Spectrogram

  Juvela, L., Bollepalli, B., Yamagishi, J. & Alku, P., 19 Sep 2019, Proceedings Interspeech 2019. International Speech Communication Association, p. 694-698 5 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  File

  • Speech synthesis
  • Acoustics
  • Vocoders
  • Neural networks

• Improving speech synthesis with discourse relations

  Aubin, A., Cervone, A., Watts, O. & King, S., 19 Sep 2019, Interspeech 2019. ISCA, Vol. 2019-September. p. 4470-4474 (Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  File

  • Speech Synthesis
  • Discourse Relations
  • Discourse
  • Speech synthesis
  • Naturalness

• Initial investigation of an encoder-decoder end-to-end TTS framework using marginalization of monotonic hard latent alignments

  Yasuda, Y., Wang, X. & Yamagishi, J., 22 Sep 2019, Proceedings of the 10th ISCA Speech Synthesis Workshop. International Speech Communication Association, p. 1-6 6 p. (Proc. 10th ISCA Speech Synthesis Workshop).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  File

  • Acoustics
  • Speech synthesis

• Investigation of Enhanced Tacotron Text-to-speech Synthesis Systems with Self-attention for Pitch Accent Language

  Yasuda, Y., Wang, X., Takaki, S. & Yamagishi, J., 17 May 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Brighton, United Kingdom: Institute of Electrical and Electronics Engineers (IEEE), p. 6905-6909 5 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  File

  • Speech synthesis
  • Pipelines
  • Labels
  • Acoustics

• Lattice-based lightly-supervised acoustic model training

  Fainberg, J., Klejch, O., Renals, S. & Bell, P., 19 Sep 2019, Proceedings Interspeech 2019. International Speech Communication Association, p. 1596-1600 5 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  File

  • Transcription
  • Acoustics
  • Speech recognition
  • Decoding
  • Uncertainty

• Measuring the contribution to cognitive load of each predicted vocoder speech parameter in DNN-based speech synthesis

  Govender, A., Valentini-Botinhao, C. & King, S., 22 Sep 2019, Proceedings of the 10th ISCA Speech Synthesis Workshop. International Speech Communication Association, p. 121-126 6 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  File

  • Speech synthesis
  • Deep neural networks