Keywords:
- Accent Identification
- Accented speech
- Accentual mismatch
- Acoustic model adaptation
- acoustic modeling
- Ad hoc microphone array calibration
- Ad-hoc microphone calibration
- adaptive training
- Adequacy of diffuseness
- Afrikaans
- All pass warp
- ASR
- audio processing
- aurora
- Automatic prosodic event detection
- Automatic Speech Recognition
- Benchmarking
- benchmarks
- bilingual speakers
- Blizzard Challenge
- Broadband beam-pattern
- broadcast news
- Cadzow algorithm
- cepstral normalisation
- cochlear model
- cochlear models
- Code-Switching
- conditional layer normalization
- Confidence Measure (CM)
- connectionist temporal classification (ctc)
- constrained structural maximum a posteriori linear regression
- continuous F0 coding
- Conversational technologies
- crosslingual adaptation
- Deep learning for speech
- deep MLPs
- deep neural networks
- Delay-and-sum beamformer
- dialectal lexicon
- Diffuse field coherence model
- Diffuse noise coherence
- Diffuse sound coherence model
- diffusion model
- diffusion transformer
- Digital IIR Filters
- Digital IIR Filters
- direction of arrival
- Directivity
- Distant speech recognition
- Distributed source localization.
- dnn
- dnn-based speech recognition
- domain adaptation
- duration
- Emotion Recognition
- emotional speech synthesis
- emotional TTS
- emphasis
- end-to-end
- end-to-end architectures
- energy
- Environmental mismatch
- Euclidean distance matrix
- fast adaptation
- fast training
- filterbanks
- French accents
- French Regional Accents
- French TTS
- Fujisaki Model
- gamma-tone filter
- Generalized Trust Region Subproblem (GTRS).
- German
- German language
- GMM Modelling
- hidden Markov models
- HMM-based speech synthesis
- HSMM explicit duration modelling
- hybrid system
- i-vectors
- Image Model
- intonation
- KL-HMM
- Kullback-Leibler divergence
- Lexicon
- low bit rate speech coding
- LVCSR
- Matrix completion
- modelling
- multi-dialect
- multilayer perceptron
- Multilingual
- multilingual acoustic modeling
- multilingual ASR
- multilingual speech recognition
- Multimodal interaction
- nearest neighbour rule of classification.
- neural network features
- neural networks
- NLP
- Noise Robustness
- open vocabulary
- open-vocabulary
- Out-Of-Language (OOL) detection
- Overlapping Speech
- parametric speech synthesis
- Parametric vocoding
- pattern matching
- phone duration modelling
- Phonological features
- phonological posteriors
- phonology
- pitch analysis
- pitch model
- Pitch modelling
- pitch target approximation
- pitch target realisation
- Posterior features
- pretrained language model
- probabilistic amplitude demodulation
- prosody
- Prosody Modelling
- punctuation
- real-time audio processing
- recurrent neural network
- reliability estimation
- Reverberant enclosure
- Robust microphone placement
- S-stress
- Saliency Mapping
- Semi-supervised training
- Semidefinite programming
- sentence boundary prediction
- SGMM adaptation
- SincNet
- Single-channel source localization
- SNR spectrum
- Source localization
- Sparse Component Analysis
- speaker adaptation
- spectral amplitude modulation phase hierarchy
- speech coding
- speech corpus
- speech meta-data
- speech prosody
- speech recognition
- speech synthesis
- Speech Translation
- speech-to-speech translation
- spiking neural networks
- Spoken Language Understanding
- Spoken Term Detection (STD)
- Statistical parametric speech synthesis
- Subs-ace Gaussian Mixture Models
- subword segmentation
- Subword unit
- Superdirective beamformer
- Support Vector Regression
- SVM
- Swiss German
- Swiss prosody
- Swisscom
- synchronisation
- Tandem
- temporal alignment
- text-to-speech
- time synchronisation
- time synchronization
- time-frequency analysis
- TTS
- TV Box
- Under-resourced data
- under-resourced languages
- under-resourced speech recognition
- unit selection
- universal phoneme set
- VAE
- Very low bit rate speech coding
- vocal tract length normalization
- voice assistant
- VTLN
- Wav2vec
- word emphasis
- zero-shot speaker adaptation
Publications of Philip N. Garner sorted by first author
I
| MediaParl: Bilingual mixed language accented speech database, , , , , and , Idiap-RR-03-2013 |
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| MediaParl: Bilingual mixed language accented speech database, , , , , and , in: Proceedings of the 2012 IEEE Workshop on Spoken Language Technology, pages 263--268, 2012 |
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| Applying multi- and cross-lingual stochastic phone space transformations to non-native speech recognition, , , , and , in: IEEE Transactions on Audio, Speech, and Language Processing, 2013 |
[DOI] |
| Improving non-native ASR through stochastic multilingual phoneme space transformations, , , , and , Idiap-RR-19-2011 |
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| Improving non-native ASR through stochastic multilingual phoneme space transformations, , , , and , in: Proceedings of Interspeech, Florence, Italy, pages 537-540, 2011 |
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| Using KL-divergence and multilingual information to improve ASR for under-resourced languages, , and , in: Proceedings IEEE International Conference on Acoustics, Speech and Signal Processing, Kyoto, pages 4869--4872, 2012 |
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| Boosting under-resourced speech recognizers by exploiting out of language data - Case study on Afrikaans, , and , in: Proceedings of the 3rd International Workshop on Spoken Languages Technologies for Under-resourced Languages, Cape Town, pages 60--67, 2012 |
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| Boosting under-resourced speech recognizers by exploiting out of language data - Case study on Afrikaans, , and , Idiap-RR-15-2012 |
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| Comparing different acoustic modeling techniques for multilingual boosting, , , , and , Idiap-RR-01-2013 |
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| Comparing different acoustic modeling techniques for multilingual boosting, , , , and , in: Proceedings of Interspeech, Portland, Oregon, 2012 |
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| Using out-of-language data to improve an under-resourced speech recognizer, , , and , in: Speech Communication, 2013 |
[DOI] [URL] |
| Using out-of-language data to improve an under-resourced speech recognizer, , , and , Idiap-RR-09-2013 |
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| Impact of deep MLP architecture on different acoustic modeling techniques for under-resourced speech recognition, , , and , in: Proceedings of the IEEE workshop on Automatic Speech Recognition and Understanding, 2013 |
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J
| Combating COVID-19 with charisma: Evidence on governor speeches in the United States, , , , , , and , in: The Leadership Quarterly, 2023 |
[DOI] [URL] |
K
| Modeling Dialectal Variation for Swiss German Automatic Speech Recognition, , and , in: Proceedings of Interspeech, 2021 |
[DOI] |
| Learning to Translate Low-Resourced Swiss German Dialectal Speech into Standard German Text, , and , in: IEEE Automatic Speech Recognition and Understanding Workshop, Colombia, Cartagena, IEEE, 2021 |
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| An Evaluation Benchmark for Automatic Speech Recognition of German-English Code-Switching, , and , in: IEEE Automatic Speech Recognition and Understanding Workshop, 2021 |
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| Comparison of Subword Segmentation Methods for Open-vocabulary ASR using a Difficulty Metric, , , and |
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| COMPARISON OF SUBWORD SEGMENTATION METHODS FOR OPEN-VOCABULARYEND-TO-END SPEECH RECOGNITION, , , and , Idiap-RR-34-2020 |
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| Automatic Temporal Alignment of AV Data with Confidence Estimation, , and , in: Proceedings IEEE International Conference on Acoustics, Speech and Signal Processing, Dallas, USA, 2010 |
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| Automatic Temporal Alignment of AV Data, , and , Idiap-RR-39-2009 |
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| Automatic Temporal Alignment of AV Data with Confidence Estimation, , and , Idiap-RR-40-2009 |
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| Hands Free Audio Analysis from Home Entertainment, , and , Idiap-RR-27-2010 |
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| Hands Free Audio Analysis from Home Entertainment, , and , in: Proceedings of Interspeech, Makuhari, Japan, 2010 |
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| Vulnerability of Automatic Identity Recognition to Audio-Visual Deepfakes, , , and , in: IEEE International Joint Conference on Biometrics, 2023 |
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| Adaptive Beamforming with a Maximum Negentropy Criterion, , , , and , Idiap-RR-06-2008 |
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| Maximum Negentropy Beamforming, , , , and , Idiap-RR-07-2008 |
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| Adaptive Beamforming with a Maximum Negentropy Criterion, , , , and , in: Proceedings of the Joint Workshop on Hands-free Speech Communication and Microphone Arrays, Italy, 2008 |
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| Adaptive Beamforming with a Maximum Negentropy Criterion, , , , , and , Idiap-RR-29-2008 |
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| Maximum kurtosis beamforming with the generalized sidelobe canceller, , , , , and , in: Proceedings of INTERSPEECH, September 2008, Brisbane, Australia, 2008 |
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| Beamforming with a Maximum Negentropy Criterion, , , , , and , in: IEEE Transactions on Audio Speech and Language Processing, 17(5), 2009 |
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| Filter Bank Design for Subband Adaptive Beamforming and Application to Speech Recognition, , , , , and , Idiap-RR-02-2008 |
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| Filter Bank Design based on Minimization of Individual Aliasing Terms for Minimum Mutual Information Subband Adaptive Beamforming, , , , , and , in: Proceedings of ICASSP 2008, Las Vegas, USA, 2008 |
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| Filter Bank Design based on Minimization of Individual Aliasing Terms for Minimum Mutual Information Subband Adaptive Beamforming, , , , , and , Idiap-RR-77-2007 |
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| Personalising speech-to-speech translation in the EMIME project, , , , , , , , , , , , , , , , , , and , in: Proceedings of the ACL 2010 System Demonstrations, Association for Computational Linguistics, Uppsala, Sweden, 2010 |
[URL] |
L
| Probabilistic Amplitude Demodulation features in Speech Synthesis for Improving Prosody, , and , Idiap-RR-12-2016 |
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| Probabilistic Amplitude Demodulation Features in Speech Synthesis for Improving Prosody, , and , in: Proceedings of Interspeech, San Francisco, USA, 2016 |
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| Investigating Spectral Amplitude Modulation Phase Hierarchy Features in Speech Synthesis, , , and , Idiap-RR-22-2016 |
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