Tetsuro Kitahara
Biographic Data
| ID | 2787890 |
|---|---|
| NAME | Tetsuro Kitahara |
| GIVEN NAMES | Tetsuro |
| FAMILY NAME | Kitahara |
| SIGNATURE | KITAHARA T |
| AFFILIATIONS | Nihon University |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 1 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2014 |
| LATEST PUBLICATION YEAR | 2021 |
| H-INDEX | 1 |
Automatic melody harmonization with triad chords
The task of automatic melody harmonization aims to build a model that generates a chord sequence as the harmonic accompaniment of a given multiple-bar melody sequence. In this paper, we present a comparative study evaluating the performance of canonical approaches to this task, including template matching, hidden Markov model, genetic algorithm and deep learning. The evaluation is conducted on a dataset of 9226 melody/chord pairs, considering 48 …
Four-part Harmonization Using Bayesian Networks
We explore Bayesian network models that generate four-part harmonies according to the melody of a soprano voice. The probabilistic models that most studies have proposed already contain nodes or states that represent chord symbols. Chord symbols, however, may not be suitable as a node of probabilistic models because they are ambiguous; chords with different voicings are represented as the same symbol. In this paper, we develop Bayesian networks t…
Four-part Harmonization Using Bayesian Networks
We explore Bayesian network models that generate four-part harmonies according to the melody of a soprano voice. The probabilistic models that most studies have proposed already contain nodes or states that represent chord symbols. Chord symbols, however, may not be suitable as a node of probabilistic models because they are ambiguous; chords with different voicings are represented as the same symbol. In this paper, we develop Bayesian networks t…
Four-part Harmonization Using Bayesian Networks
We explore Bayesian network models that generate four-part harmonies according to the melody of a soprano voice. The probabilistic models that most studies have proposed already contain nodes or states that represent chord symbols. Chord symbols, however, may not be suitable as a node of probabilistic models because they are ambiguous; chords with different voicings are represented as the same symbol. In this paper, we develop Bayesian networks t…
Automatic melody harmonization with triad chords
The task of automatic melody harmonization aims to build a model that generates a chord sequence as the harmonic accompaniment of a given multiple-bar melody sequence. In this paper, we present a comparative study evaluating the performance of canonical approaches to this task, including template matching, hidden Markov model, genetic algorithm and deep learning. The evaluation is conducted on a dataset of 9226 melody/chord pairs, considering 48 …
Artificial Intelligence (2 works) · Computer Science (2 works) · Music and Audio Processing (2 works) · Music Technology and Sound Studies (2 works) · Speech recognition (2 works) · Advanced Text Analysis Techniques (1 work) · Bayesian network (1 work) · Bayesian probability (1 work) · Computer network (1 work) · Data mining (1 work)