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In this paper, we study a novel task that learns to compose music from natural language. Given the lyrics as input, we propose a melody composition model that generates lyrics-conditional melody as well as the exact alignment between the…

Computation and Language · Computer Science 2018-09-13 Hangbo Bao , Shaohan Huang , Furu Wei , Lei Cui , Yu Wu , Chuanqi Tan , Songhao Piao , Ming Zhou

Emotional speech synthesis aims to synthesize human voices with various emotional effects. The current studies are mostly focused on imitating an averaged style belonging to a specific emotion type. In this paper, we seek to generate speech…

Computation and Language · Computer Science 2023-01-02 Kun Zhou , Berrak Sisman , Rajib Rana , B. W. Schuller , Haizhou Li

Virtual musicians have become a remarkable phenomenon in the contemporary multimedia arts. However, most of the virtual musicians nowadays have not been endowed with abilities to create their own behaviors, or to perform music with human…

Multimedia · Computer Science 2020-09-17 Yuen-Jen Lin , Hsuan-Kai Kao , Yih-Chih Tseng , Ming Tsai , Li Su

We describe a real-time system that receives a live audio stream from a jam session and generates lyric lines that are congruent with the live music being played. Two novel approaches are proposed to align the learned latent spaces of audio…

Sound · Computer Science 2021-06-04 Olga Vechtomova , Gaurav Sahu , Dhruv Kumar

This demo is about automatic authoring of various motion effects that are provided with audiovisual content to improve user experiences. Traditionally, motion effects have been used for simulators, e.g., flight simulators for pilots and…

Human-Computer Interaction · Computer Science 2024-11-11 Jiwan Lee , Seungmoon Choi

We are entering a new era in which software systems are becoming more and more complex and larger. So, the composition of such systems is becoming infeasible by manual means. To address this challenge, self-organising software models…

Formal Languages and Automata Theory · Computer Science 2025-08-27 Damian Arellanes

Quantitatively evaluating and comparing the performance of robotic solutions that are designed to work under a variety of conditions is inherently challenging because they need to be evaluated under numerous precisely repeatable conditions…

Robotics · Computer Science 2019-03-26 Achim Gerstenberg , Martin Steinert

There are many applications that aim to create a complete model for an autonomously generated composition; systems are able to generate muzak songs, assist singers in transcribing songs or can imitate long-dead authors. Subjective…

Sound · Computer Science 2022-04-12 Daniel Kvak

Emerging technologies in the domain of extended reality offer rich, new possibilities for the study and practice of joint music performance. Apart from the technological challenges, bringing music players together in extended reality raises…

Human-Computer Interaction · Computer Science 2023-08-31 Bavo Van Kerrebroeck , Kristel Crombé , Stéphanie Wilain , Marc Leman , Pieter-Jan Maes

We propose a novel approach to the 'reality gap' problem, i.e., modifying a robot simulation so that its performance becomes more similar to observed real world phenomena. This problem arises whether the simulation is being used by human…

Robotics · Computer Science 2020-05-11 Damian Lyons , James Finocchiaro , Michael Novitzky , Christopher Korpela

Incorporating accurate physics-based simulation into interactive design tools is challenging. However, adding the physics accurately becomes crucial to several emerging technologies. For example, in virtual/augmented reality (VR/AR) videos,…

Human-Computer Interaction · Computer Science 2017-12-05 Dingzeyu Li

While existing Singing Voice Synthesis systems achieve high-fidelity solo performances, they are constrained by global timbre control, failing to address dynamic multi-singer arrangement and vocal texture within a single song. To address…

Sound · Computer Science 2026-02-10 Jiatao Chen , Xing Tang , Xiaoyue Duan , Yutang Feng , Jinchao Zhang , Jie Zhou

The quality of outputs produced by deep generative models for music have seen a dramatic improvement in the last few years. However, most deep learning models perform in "offline" mode, with few restrictions on the processing time.…

Sound · Computer Science 2019-05-01 Pablo Samuel Castro

Artificial agents that learn to communicate in order to accomplish a given task acquire communication protocols that are typically opaque to a human. A large body of work has attempted to evaluate the emergent communication via various…

Artificial Intelligence · Computer Science 2024-03-25 Boaz Carmeli , Yonatan Belinkov , Ron Meir

Simulation Optimization (SO) refers to the optimization of an objective function subject to constraints, both of which can be evaluated through a stochastic simulation. To address specific features of a particular simulation---discrete or…

Data Structures and Algorithms · Computer Science 2017-06-28 Satyajith Amaran , Nikolaos V. Sahinidis , Bikram Sharda , Scott J. Bury

This paper presents <Dialogue in Resonance>, an interactive music piece for a human pianist and a computer-controlled piano that integrates real-time automatic music transcription into a score-driven framework. Unlike previous approaches…

Sound · Computer Science 2025-05-23 Hayeon Bang , Taegyun Kwon , Juhan Nam

A song is a combination of singing voice and accompaniment. However, existing works focus on singing voice synthesis and music generation independently. Little attention was paid to explore song synthesis. In this work, we propose a novel…

Audio and Speech Processing · Electrical Eng. & Systems 2024-05-21 Zhiqing Hong , Rongjie Huang , Xize Cheng , Yongqi Wang , Ruiqi Li , Fuming You , Zhou Zhao , Zhimeng Zhang

Sentiment or mood can express themselves on various levels in music. In automatic analysis, the actual audio data is usually analyzed, but the lyrics can also play a crucial role in the perception of moods. We first evaluate various models…

Sound · Computer Science 2024-05-06 Lea Schaab , Anna Kruspe

Abstraction and realization are bilateral processes that are key in deriving intelligence and creativity. In many domains, the two processes are approached through rules: high-level principles that reveal invariances within similar yet…

Machine Learning · Computer Science 2018-03-13 Haizi Yu , Tianxi Li , Lav R. Varshney

Compositionality is a hallmark of human language that not only enables linguistic generalization, but also potentially facilitates acquisition. When simulating language emergence with neural networks, compositionality has been shown to…

Computation and Language · Computer Science 2023-05-23 Emily Cheng , Mathieu Rita , Thierry Poibeau