- Tytuł:
- An Effective Speaker Clustering Method using UBM and Ultra-Short Training Utterances
- Autorzy:
-
Hossa, R.
Makowski, R. - Powiązania:
- https://bibliotekanauki.pl/articles/176593.pdf
- Data publikacji:
- 2016
- Wydawca:
- Polska Akademia Nauk. Czytelnia Czasopism PAN
- Tematy:
-
automatic speech recognition
interindividual difference compensation
speaker clustering
universal background model
GMM weighting factor adaptation - Opis:
- The same speech sounds (phones) produced by different speakers can sometimes exhibit significant differences. Therefore, it is essential to use algorithms compensating these differences in ASR systems. Speaker clustering is an attractive solution to the compensation problem, as it does not require long utterances or high computational effort at the recognition stage. The report proposes a clustering method based solely on adaptation of UBM model weights. This solution has turned out to be effective even when using a very short utterance. The obtained improvement of frame recognition quality measured by means of frame error rate is over 5%. It is noteworthy that this improvement concerns all vowels, even though the clustering discussed in this report was based only on the phoneme a. This indicates a strong correlation between the articulation of different vowels, which is probably related to the size of the vocal tract.
- Źródło:
-
Archives of Acoustics; 2016, 41, 1; 107-118
0137-5075 - Pojawia się w:
- Archives of Acoustics
- Dostawca treści:
- Biblioteka Nauki
Artykuł