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Found 6 papers, 3 papers with code
VANI: Very-lightweight Accent-controllable TTS for Native and Non-native speakers with Identity Preservation
We introduce VANI, a very lightweight multi-lingual accent controllable speech synthesis system.
Multilingual Multiaccented Multispeaker TTS with RADTTS
We work to create a multilingual speech synthesis system which can generate speech with the proper accent while retaining the characteristics of an individual voice.
Generative Modeling for Low Dimensional Speech Attributes with Neural Spline Flows
Despite recent advances in generative modeling for text-to-speech synthesis, these models do not yet have the same fine-grained adjustability of pitch-conditioned deterministic models such as FastPitch and FastSpeech2.
Representation Mixing for TTS Synthesis
Recent character and phoneme-based parametric TTS systems using deep learning have shown strong performance in natural speech generation.
Deep Complex Networks
Despite their attractive properties and potential for opening up entirely new neural architectures, complex-valued deep neural networks have been marginalized due to the absence of the building blocks required to design such models.
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Music Transcription
on MusicNet
Music transcription modelling and composition using deep learning
We apply deep learning methods, specifically long short-term memory (LSTM) networks, to music transcription modelling and composition.
