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 recency
| Combating COVID-19 with charisma: Evidence on governor speeches in the United States, , , , , , and , in: The Leadership Quarterly, 2023 |
[DOI] [URL] |
| The Interpreter Understands Your Meaning: End-to-end Spoken Language Understanding Aided by Speech Translation, and , in: Findings of the Association for Computational Linguistics: EMNLP 2023, Singapore, December 6-10, 2023, pages 4408-4423, Association for Computational Linguistics, 2023 |
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| The Idiap Speech Synthesis System for the Blizzard Challenge 2023, , , and , in: Proc. 18th Blizzard Challenge Workshop, 2023 |
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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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| Idiap Scientific Report 2022, , , , , , , , , , , , , , , , , and , Idiap-RR-05-2023 |
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| Diffusion transformer for adaptive text-to-speech, and , in: Proc. 12th ISCA Speech Synthesis Workshop (SSW 12), 2023 |
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| Can ChatGPT Detect Intent? Evaluating Large Language Models for Spoken Language Understanding, and , in: Proc. INTERSPEECH 2023, pages 1109-1113, 2023 |
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| Low-Level Physiological Implications of End-to-End Learning for Speech Recognition, and , in: Proc. Interspeech 2022, pages 749--753, 2022 |
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| Bayesian Recurrent Units and the Forward Backward Algorithm, and , in: Proc. Interspeech 2022, pages 4137-4141, 2022 |
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| A surrogate gradient spiking baseline for speech command recognition, and , in: Frontiers in Neuroscience, 2022 |
[DOI] [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 |
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| Investigating a neural all pass warp in modern TTS applications, and , in: Speech Communication, 138:26--37, 2022 |
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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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| 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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| Modeling Dialectal Variation for Swiss German Automatic Speech Recognition, , and , in: Proceedings of Interspeech, 2021 |
[DOI] |
| Improving Emotional TTS with an Emotion Intensity Input from Unsupervised Extraction, and , in: 11th ISCA Speech Synthesis Workshop, 2021 |
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| A Bayesian Interpretation of the Light Gated Recurrent Unit, and , in: Proceedings IEEE International Conference on Acoustics, Speech and Signal Processing, 2021 |
[DOI] |
| COMPARISON OF SUBWORD SEGMENTATION METHODS FOR OPEN-VOCABULARYEND-TO-END SPEECH RECOGNITION, , , and , Idiap-RR-34-2020 |
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| A Neural Model to Predict Parameters for a Generalized Command Response Model of Intonation, and , in: MLSLP-18 Proceedings, Hyderabad, 2018 |
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| A t-distribution based operator for enhancing out of distribution robustness of neural network classifiers, and , in: IEEE Signal Processing Letters, 27:1070-1074, 2020 |
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| A Bayesian Approach to Recurrence in Neural Networks, and , in: IEEE Transactions on Pattern Analysis and Machine Intelligence, 43(8):2527--2537, 2021 |
[DOI] |
| Comparison of Subword Segmentation Methods for Open-vocabulary ASR using a Difficulty Metric, , , and |
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| Self-attention for Speech Emotion Recognition, , and , in: Proc. Interspeech 2019, 2019 |
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| Neural VTLN for Speaker Adaptation in TTS, and , in: Proc. 10th ISCA Speech Synthesis Workshop, ISCA, Vienna, Austria, pages 6, 2019 |
[DOI] |
| An End-to-end Network to Synthesize Intonation Using a Generalized Command Response Model, , , , and , in: ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Brighton, United Kingdom, pages 7040-7044, IEEE, 2019 |
[DOI] [URL] |