11453972
A corpus-based singing voice synthesis system for mandarin Chinese
In this paper, the design and implementation of a corpus-based singing voice synthesis (SVS) system for Mandarin Chinese was introduced. The design rules of three corpora for singing voice synthesis were proposed. After that, two distance functions were defined and the Viterbi search algorithm was applied to identify the optimal combinations of synthesis units from the three corpora. For better performance, several sound effects with synthesized outputs were combined. Finally, we conduct a listening experiment to demonstrate the feasibility of this system.
10503067
Content-based music retrieval using linear scaling and branch-and-bound tree search
paper presents the use of linear scaling and tree search in a content-based music retrieval system that can take a user's acoustic input (8-second clip of singing or humming) via a microphone and then retrieve the intended song from over 3000 candidate songs in the database. The system, known as Super MBox, demonstrates the feasibility of real-time content-based music retrieval with a high recognition rate. Super MBox first takes the user's acoustic input from a microphone and converts it into a pitch vector. Then a fast comparison engine using linear scaling and tree search is employed to compute the similarity scores. We have tested Super MBox and found the top-20 recognition rate is about 73% with about 1000 clips of test inputs from people with mediocre singing skills.
15599923
A hierarchical approach to designing approximate reasoning-based controllers for dynamic physical systems
This paper presents a new technique for the design of approximate reasoning based controllers for dynamic physical systems with interacting goals. In this approach, goals are achieved based on a hierarchy defined by a control knowledge base and remain highly interactive during the execution of the control task. The approach has been implemented in a rule-based computer program which is used in conjunction with a prototype hardware system to solve the cart-pole balancing problem in real-time. It provides a complementary approach to the conventional analytical control methodology, and is of substantial use where a precise mathematical model of the process being controlled is not available.
17748603
Continuous HMM and Its Enhancement for Singing/Humming Query Retrieval
The use of HMM (Hidden Markov Models) for speech recognition has been successful for various applications in the past decades. However, the use of continuous HMM (CHMM) for melody recognition via acoustic input (MRAI for short), or the so-called query by singing/humming, has seldom been reported, partly due to the difference in acoustic characteristics between speech and singing/humming inputs. This paper will derive the formula of CHMM training for frame-based MRAI. In particular, we shall propose enhancement to CHMM and demonstrate that with the enhancement scheme, CHMM can compare favourably with DTW in both efficiency and effectiveness.
17062981
Extraction of transliteration pairs from parallel corpora using a statistical transliteration model
This paper describes a framework for modeling the machine transliteration problem. The parameters of the proposed model are automatically acquired through statistical learning from a bilingual proper name list. Unlike previous approaches, the model does not involve the use of either a pronunciation dictionary for converting source words into phonetic symbols or manually assigned phonetic similarity scores between source and target words. We also report how the model is applied to extract proper names and corresponding transliterations from parallel corpora. Experimental results show that the average rates of word and character precision are 93.8% and 97.8%, respectively.
928078
An Initial Study on Progressive Filtering Based on Dynamic Programming for Query-by-Singing/Humming
This paper presents the concept of progressive filtering (PF) and its efficient design based on dynamic programming. The proposed PF is scalable for large music retrieval systems and is data-driven for performance optimization. Moreover, its concept and design are general in nature and can be applied to any multimedia retrieval systems. The application of the proposed PF to a 5-stage query-by-singing/humming (QBSH) system is reported, and the experimental results demonstrate the feasibility of the proposed approach.
15573735
Design issues and performance comparisons in supporting the sockets interface over user-level communication architecture
Abstract
Since user-level communication (ULC) architecture provides only primitive operations for application programmers, there have been several researches to build a portable and standard communication interface, such as sockets, on top of ULC architecture. Basically there are three different approaches to supporting the sockets interface over ULC architecture: LAN emulation, a user-level sockets, and a kernel-level sockets. The primary objective of this paper is to compare these approaches in terms of their design, implementation, and performance.

We have developed and implemented a kernel-level sockets layer over ULC architecture, since there is currently no available implementation. We also present different design and implementation decisions on data receiving, data sending, connection management, etc. in the three approaches. Through the performance comparison, we show that LAN emulation approach exhibits the worst performance both in latency and bandwidth. Our experiments also show that a user-level sockets is useful for latency-sensitive applications and a kernel-level sockets is effective for applications which require high bandwidth and full compatibility with the legacy sockets interface.
