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Found 15 papers, 4 papers with code
Text-to-Song: Towards Controllable Music Generation Incorporating Vocals and Accompaniment
A song is a combination of singing voice and accompaniment.
Prompt-Singer: Controllable Singing-Voice-Synthesis with Natural Language Prompt
Recent singing-voice-synthesis (SVS) methods have achieved remarkable audio quality and naturalness, yet they lack the capability to control the style attributes of the synthesized singing explicitly.
Stochastic Data-Driven Predictive Control with Equivalence to Stochastic MPC
We propose a data-driven receding-horizon control method dealing with the chance-constrained output-tracking problem of unknown stochastic linear time-invariant (LTI) systems with partial state observation.
StyleSinger: Style Transfer for Out-of-Domain Singing Voice Synthesis
Moreover, existing SVS methods encounter a decline in the quality of synthesized singing voices in OOD scenarios, as they rest upon the assumption that the target vocal attributes are discernible during the training phase.
Speech-to-Speech Translation with Discrete-Unit-Based Style Transfer
Direct speech-to-speech translation (S2ST) with discrete self-supervised representations has achieved remarkable accuracy, but is unable to preserve the speaker timbre of the source speech during translation.
When Do Discourse Markers Affect Computational Sentence Understanding?
The capabilities and use cases of automatic natural language processing (NLP) have grown significantly over the last few years.
DisCover: Disentangled Music Representation Learning for Cover Song Identification
We analyze the CSI task in a disentanglement view with the causal graph technique, and identify the intra-version and inter-version effects biasing the invariant learning.
Automated Action Model Acquisition from Narrative Texts
Action models, which take the form of precondition/effect axioms, facilitate causal and motivational connections between actions for AI agents.
AlignSTS: Speech-to-Singing Conversion via Cross-Modal Alignment
The speech-to-singing (STS) voice conversion task aims to generate singing samples corresponding to speech recordings while facing a major challenge: the alignment between the target (singing) pitch contour and the source (speech) content is difficult to learn in a text-free situation.
Zero-shot Medical Image Translation via Frequency-Guided Diffusion Models
However, for medical image translation, the existing diffusion models are deficient in accurately retaining structural information since the structure details of source domain images are lost during the forward diffusion process and cannot be fully recovered through learned reverse diffusion, while the integrity of anatomical structures is extremely important in medical images.
EDeR: A Dataset for Exploring Dependency Relations Between Events
We argue that an important type of relation not explored in NLP or IR research to date is that of an event being an argument - required or optional - of another event.
M4Singer: a Multi-Style, Multi-Singer and Musical Score Provided Mandarin Singing Corpus
The lack of publicly available high-quality and accurately labeled datasets has long been a major bottleneck for singing voice synthesis (SVS).
Data-Driven Model Predictive Control for Linear Time-Periodic Systems
Robustness of the algorithm to noisy data is illustrated via simulation of a regularized version of the algorithm applied to a stochastic multi-input multi-output LTP system.
Latent Space Arc Therapy Optimization
Volumetric modulated arc therapy planning is a challenging problem in high-dimensional, non-convex optimization.
The Geometry of Information Cocoon: Analyzing the Cultural Space with Word Embedding Models
In contrast, the people of higher social class have more capability to stride over the constraints of information cocoon.
Computers and Society
