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 title
A
| Atom Decomposition-based Intonation Modelling, , and , in: IEEE 40th International Conference on Acoustics, Speech and Signal Processing (ICASSP), Brisbane, Australia, pages 4744--4748, IEEE, 2015 |
[DOI] |
| Automatic Speech Indexing System of Bilingual Video Parliament Interventions, , , , , and , Idiap-RR-25-2013 |
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| Automatic Speech Recognition and Translation of a Swiss German Dialect: Walliserdeutsch, , and , in: Proceedings of Interspeech, 2014 |
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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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| 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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B
| Bayesian Approaches to Uncertainty in Speech Processing, , School of Computing Sciences, University of East Anglia, 2011 |
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| Bayesian Recurrent Units and the Forward Backward Algorithm, and , in: Proc. Interspeech 2022, pages 4137-4141, 2022 |
[DOI] |
| Beamforming with a Maximum Negentropy Criterion, , , , , and , in: IEEE Transactions on Audio Speech and Language Processing, 17(5), 2009 |
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| Bias Adaptation for Vocal Tract Length Normalization, , , and , Idiap-RR-12-2013 |
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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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| BROADBAND BEAMPATTERN FOR MULTI-CHANNEL SPEECH ACQUISITION AND DISTANT SPEECH RECOGNITION, , and , Idiap-RR-39-2011 |
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C
| Can ChatGPT Detect Intent? Evaluating Large Language Models for Spoken Language Understanding, and , in: Proc. INTERSPEECH 2023, pages 1109-1113, 2023 |
[DOI] |
| Cepstral normalisation and the signal to noise ratio spectrum in automatic speech recognition, , in: Speech Communication, 53(8):991--1001, 2011 |
[DOI] |
| Cepstral normalisation and the signal to noise ratio spectrum in automatic speech recognition., , Idiap-RR-15-2011 |
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| Combating COVID-19 with charisma: Evidence on governor speeches in the United States, , , , , , and , in: The Leadership Quarterly, 2023 |
[DOI] [URL] |
| COMBINING CEPSTRAL NORMALIZATION AND COCHLEAR IMPLANT-LIKE SPEECH PROCESSING FOR MICROPHONE ARRAY-BASED SPEECH RECOGNITION, , and , in: Proceedings of the IEEE Workshop on Spoken Language Technology, 2012 |
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| Combining the SNR Spectrum with a Cochlear Model, , Idiap-RR-14-2018 |
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| COMBINING VOCAL TRACT LENGTH NORMALIZATION WITH HIERARCHIAL LINEAR TRANSFORMATIONS, , , and , in: Proceedings in International conference on Speech and Signal processing, Kyoto, Japan, pages 4493-4496, IEEE SPS (ICASSP), 2012 |
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| Combining Vocal Tract Length Normalization with Hierarchical Linear Transformations, , , and , in: IEEE Journal of Selected Topics in Signal Processing - Special Issue on Statistical Parametric Speech Synthesis, 8(2):262 - 272, 2014 |
[DOI] |
| Combining Vocal Tract Length Normalization with Linear Transformations in a Bayesian Framework, , , and , Idiap-RR-11-2012 |
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| Comparative Study on Sentence Boundary Prediction for German and English Broadcast News, , , , and , Idiap-RR-18-2017 |
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| Comparing different acoustic modeling techniques for multilingual boosting, , , , and , in: Proceedings of Interspeech, Portland, Oregon, 2012 |
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| Comparing different acoustic modeling techniques for multilingual boosting, , , , and , Idiap-RR-01-2013 |
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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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| Composition of Deep and Spiking Neural Networks for Very Low Bit Rate Speech Coding, , , and , Idiap-RR-11-2016 |
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| Composition of Deep and Spiking Neural Networks for Very Low Bit Rate Speech Coding, , , and , in: IEEE/ACM Trans. on Audio, Speech and Language Processing, 2016 |
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| CONTEXT-AWARE ATTENTION MECHANISM FOR SPEECH EMOTION RECOGNITION, , , and , in: IEEE Workshop on Spoken Language Technology, Athens, Greece, pages 126-131, 2018 |
[URL] |
| Conversational Speech Recognition Needs Data? Experiments with Austrian German, , , and , in: Proceedings of the 13th Language Resources and Evaluation Conference, European Language Resources Association, pages 4684--4691, 2022 |
[URL] |
| Convolutional Pitch Target Approximation Model for Speech Synthesis, and , Idiap-RR-05-2013 |
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| Cross-lingual Adaptation of a CTC-based multilingual Acoustic Model, , and , in: Speech Communication, 104:39-46, 2018 |
[DOI] |
| Crosslingual Tandem-SGMM: Exploiting Out-Of-Language Data for Acoustic Model and Feature Level Adaptation, , and , Idiap-RR-39-2013 |
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| Crosslingual Tandem-SGMM: Exploiting Out-Of-Language Data for Acoustic Model and Feature Level Adaptation, , and , in: Proceedings of the 14th Annual Conference of the International Speech Communication Association (Interspeech 2013), ISCA - International Speech Communication Association, Lyon, France, pages 510-514, ISCA, 2013 |
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| Current trends in multilingual speech processing, , , , , , , , and , in: Sadhana, 36(5):885–915, 2011 |
[DOI] [URL] |
D
| Design of a Speech Corpus for Research on Cross-Lingual Prosody Transfer, , , , , , , , , , , and , in: Lecture Notes in Artificial Intelligence: 18th International Conference, SPECOM 2016, Budapest, Hungary, pages 199--206, 2016 |
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| Diffusion transformer for adaptive text-to-speech, and , in: Proc. 12th ISCA Speech Synthesis Workshop (SSW 12), 2023 |
[DOI] |
| DNN-based Speech Synthesis: Importance of input features and training data, , and , in: International Conference on Speech and Computer , SPECOM, pages 193-200, Springer Berlin Heidelberg, 2015 |
[DOI] |