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Found 5 papers, 2 papers with code
Stochastic Pitch Prediction Improves the Diversity and Naturalness of Speech in Glow-TTS
Flow-based generative models are widely used in text-to-speech (TTS) systems to learn the distribution of audio features (e. g., Mel-spectrograms) given the input tokens and to sample from this distribution to generate diverse utterances.
Can we use Common Voice to train a Multi-Speaker TTS system?
We show the viability of this approach for training a multi-speaker GlowTTS model on the Common Voice English dataset.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+1
\'Etude comparative des param\`etres d'entr\'ee pour la synth\`ese expressive audiovisuelle de la parole par DNNs (Comparative study of input parameters for DNN-based expressive audiovisual speech synthesis )
Dans le pass{\'e}, les descripteurs contextuels pour la synth{\`e}se de la parole acoustique ont {\'e}t{\'e} {\'e}tudi{\'e}s pour l{'}entra{\^\i}nement des syst{\`e}mes bas{\'e}s sur des HMMs.
The IFCASL Corpus of French and German Non-native and Native Read Speech
The IFCASL corpus is a French-German bilingual phonetic learner corpus designed, recorded and annotated in a project on individualized feedback in computer-assisted spoken language learning.
Designing a Bilingual Speech Corpus for French and German Language Learners: a Two-Step Process
We present the design of a corpus of native and non-native speech for the language pair French-German, with a special emphasis on phonetic and prosodic aspects.
