Emily Grabowski
Biographic Data
| ID | 10095044 |
|---|---|
| NAME | Emily Grabowski |
| GIVEN NAMES | Emily |
| FAMILY NAME | Grabowski |
| SIGNATURE | GRABOWSKI E |
| AFFILIATIONS | University of California, Berkeley |
| VERIFIED | No |
| TOTAL WORKS | 1 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 1 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2023 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 0 |
Comparing K-means and Optics clustering algorithms for identifying vowel categories
The K-means algorithm is the most commonly used clustering method for phonetic vowel description but has some properties that may be sub-optimal for representing phonetic data. This study compares K-means with an alternative algorithm, OPTICS, in two speech styles (lab vs. conversational) in English to test whether OPTICS is a viable alternative to K-means for characterizing vowel spaces. We find that with noisier data, OPTICS identifies clusters…
No prominent works on this page.
Comparing K-means and Optics clustering algorithms for identifying vowel categories
The K-means algorithm is the most commonly used clustering method for phonetic vowel description but has some properties that may be sub-optimal for representing phonetic data. This study compares K-means with an alternative algorithm, OPTICS, in two speech styles (lab vs. conversational) in English to test whether OPTICS is a viable alternative to K-means for characterizing vowel spaces. We find that with noisier data, OPTICS identifies clusters…
Algorithm (1 works) · Artificial Intelligence (1 works) · Cluster analysis (1 works) · Computer Science (1 works) · k-means clustering (1 works) · Music and Audio Processing (1 works) · Speech and Audio Processing (1 works) · Speech recognition (1 works) · Speech Recognition and Synthesis (1 works) · Vowel (1 works)