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Found 10 papers, 2 papers with code
Singing voice synthesis based on frame-level sequence-to-sequence models considering vocal timing deviation
In the proposed system, the attention mechanism absorbs alignment errors in phoneme boundaries.
Singing Voice Synthesis Based on a Musical Note Position-Aware Attention Mechanism
This paper proposes a novel sequence-to-sequence (seq2seq) model with a musical note position-aware attention mechanism for singing voice synthesis (SVS).
Embedding a Differentiable Mel-cepstral Synthesis Filter to a Neural Speech Synthesis System
This paper integrates a classic mel-cepstral synthesis filter into a modern neural speech synthesis system towards end-to-end controllable speech synthesis.
End-to-End Text-to-Speech Based on Latent Representation of Speaking Styles Using Spontaneous Dialogue
A style encoder that extracts a latent speaking style representation from speech is trained jointly with TTS.
Neural Sequence-to-Sequence Speech Synthesis Using a Hidden Semi-Markov Model Based Structured Attention Mechanism
This paper proposes a novel Sequence-to-Sequence (Seq2Seq) model integrating the structure of Hidden Semi-Markov Models (HSMMs) into its attention mechanism.
Sinsy: A Deep Neural Network-Based Singing Voice Synthesis System
To better model a singing voice, the proposed system incorporates improved approaches to modeling pitch and vibrato and better training criteria into the acoustic model.
PeriodNet: A non-autoregressive waveform generation model with a structure separating periodic and aperiodic components
We also show that the speech waveforms with a pitch outside of the training data range can be generated with more naturalness.
Hierarchical Multi-Grained Generative Model for Expressive Speech Synthesis
This framework consists of a multi-grained variational autoencoder, a conditional prior, and a multi-level auto-regressive latent converter to obtain the different time-resolution latent variables and sample the finer-level latent variables from the coarser-level ones by taking into account the input text.
Fast and High-Quality Singing Voice Synthesis System based on Convolutional Neural Networks
Singing voice synthesis systems based on deep neural networks (DNNs) are currently being proposed and are improving the naturalness of synthesized singing voices.
Singing voice synthesis based on convolutional neural networks
Then, an acoustic feature sequence of an arbitrary musical score is output in units of frames by the trained DNNs, and a natural trajectory of a singing voice is obtained by using a parameter generation algorithm.
