Search Results for author:
Found 9 papers, 3 papers with code
Symbolic Music Generation with Non-Differentiable Rule Guided Diffusion
We propose Stochastic Control Guidance (SCG), a novel guidance method that only requires forward evaluation of rule functions that can work with pre-trained diffusion models in a plug-and-play way, thus achieving training-free guidance for non-differentiable rules for the first time.
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.
SPACE: Speech-driven Portrait Animation with Controllable Expression
It uses a multi-stage approach, combining the controllability of facial landmarks with the high-quality synthesis power of a pretrained face generator.
Anomalous behaviour in loss-gradient based interpretability methods
Loss-gradients are used to interpret the decision making process of deep learning models.
dMelodies: A Music Dataset for Disentanglement Learning
In this paper, we present a new symbolic music dataset that will help researchers working on disentanglement problems demonstrate the efficacy of their algorithms on diverse domains.
Visual Attention for Musical Instrument Recognition
In the field of music information retrieval, the task of simultaneously identifying the presence or absence of multiple musical instruments in a polyphonic recording remains a hard problem.
Prosody Transfer in Neural Text to Speech Using Global Pitch and Loudness Features
This paper presents a simple yet effective method to achieve prosody transfer from a reference speech signal to synthesized speech.
An Attention Mechanism for Musical Instrument Recognition
While the automatic recognition of musical instruments has seen significant progress, the task is still considered hard for music featuring multiple instruments as opposed to single instrument recordings.
Music Performance Analysis: A Survey
Music Information Retrieval (MIR) tends to focus on the analysis of audio signals.
