| 1 |
Can we Generate Emotional Pronunciations for Expressive Speech Synthesis?
|
|
|
|
In: ISSN: 1949-3045 ; IEEE Transactions on Affective Computing ; https://hal.archives-ouvertes.fr/hal-01802463 ; IEEE Transactions on Affective Computing, Institute of Electrical and Electronics Engineers, 2020, 11 (4), pp.684-695. ⟨10.1109/TAFFC.2018.2828429⟩ (2020)
|
|
BASE
|
|
Show details
|
|
|
| 2 |
The influence of American English pronunciation on selected British pop and rock artists from the east and the south-east of England
|
|
|
|
BASE
|
|
Show details
|
|
|
| 3 |
Pronunciation and disfluency modeling for expressive speech synthesis ; Modélisation de la prononciation et des disfluences pour la synthèse de la parole expressive
|
|
|
|
In: https://hal.inria.fr/tel-01668014 ; Artificial Intelligence [cs.AI]. Université Rennes 1, 2017. English. ⟨NNT : 2017REN1S076⟩ (2017)
|
|
BASE
|
|
Show details
|
|
|
| 4 |
Perception of expressivity in TTS: linguistics, phonetics or prosody?
|
|
|
|
In: Statistical Language and Speech Processing ; https://hal-univ-lemans.archives-ouvertes.fr/hal-01623916 ; Statistical Language and Speech Processing, Oct 2017, Le Mans, France. pp.262-274, ⟨10.1007/978-3-319-68456-7_22⟩ ; http://grammars.grlmc.com/SLSP2017/index.php (2017)
|
|
BASE
|
|
Show details
|
|
|
| 5 |
Statistical Pronunciation Adaptation for Spontaneous Speech Synthesis
|
|
|
|
In: Text, Speech and Dialogue (TSD) ; https://hal.inria.fr/hal-01532035 ; Text, Speech and Dialogue (TSD), Aug 2017, Prague, Czech Republic (2017)
|
|
BASE
|
|
Show details
|
|
|
| 6 |
Adaptation de la prononciation pour la synthèse de la parole spontanée en utilisant des informations linguistiques
|
|
|
|
In: Journées d'Études sur la Parole ; https://hal.inria.fr/hal-01321361 ; Journées d'Études sur la Parole, Jul 2016, Paris, France (2016)
|
|
BASE
|
|
Show details
|
|
|
| 7 |
Improving TTS with corpus-specific pronunciation adaptation
|
|
|
|
In: Interspeech ; https://hal.inria.fr/hal-01338111 ; Interspeech, Sep 2016, San Francisco, United States (2016)
|
|
Abstract:
International audience ; Text-to-speech (TTS) systems are built on speech corpora which are labeled with carefully checked and segmented phonemes. However, phoneme sequences generated by automatic grapheme-to-phoneme converters during synthesis are usually inconsistent with those from the corpus, thus leading to poor quality synthetic speech signals. To solve this problem , the present work aims at adapting automatically generated pronunciations to the corpus. The main idea is to train corpus-specific phoneme-to-phoneme conditional random fields with a large set of linguistic, phonological, articulatory and acoustic-prosodic features. Features are first selected in cross-validation condition, then combined to produce the final best feature set. Pronunciation models are evaluated in terms of phoneme error rate and through perceptual tests. Experiments carried out on a French speech corpus show an improvement in the quality of speech synthesis when pronunciation models are included in the phonetization process. Appart from improving TTS quality, the presented pronunciation adaptation method also brings interesting perspectives in terms of expressive speech synthesis.
|
|
Keyword:
[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]; conditional random fields; feature selection; pronunciation adaptation; speech synthesis
|
|
URL: https://hal.inria.fr/hal-01338111/document
https://hal.inria.fr/hal-01338111/file/interspeech_2016_prononciation_final%20%281%29.pdf
https://hal.inria.fr/hal-01338111
|
|
BASE
|
|
Hide details
|
|
|
| 8 |
Probabilistic Speaker Pronunciation Adaptation for Spontaneous Speech Synthesis Using Linguistic Features
|
|
|
|
In: Proceedings of Statistical Language and Speech Processing ; International Conference on Statistical Language and Speech Processing (SLSP) ; https://hal.inria.fr/hal-01181192 ; International Conference on Statistical Language and Speech Processing (SLSP), Nov 2015, Budapest, Hungary. pp.229-241 (2015)
|
|
BASE
|
|
Show details
|
|
|
| 10 |
Rapid Generation of Pronunciation Dictionaries for new Domains and Languages ...
|
|
|
|
BASE
|
|
Show details
|
|
|
| 11 |
Rapid Generation of Pronunciation Dictionaries for new Domains and Languages
|
|
|
|
BASE
|
|
Show details
|
|
|
| 12 |
Second-language experience and speech-in-noise recognition: Effects of talker-listener accent similarity
|
|
|
|
In: J ACOUST SOC AM , 130 (3) 1653 - 1662. (2011) (2011)
|
|
BASE
|
|
Show details
|
|
|
|
|
