Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Madhab Pal"'
Publikováno v:
2022 4th International Conference on Artificial Intelligence and Speech Technology (AIST).
Publikováno v:
SLTU
Publikováno v:
SLTU
Autor:
Madhab Pal, Joyanta Basu, Saibal Chatterjee, Soma Khan, T. K. Basu, Swanirbhar Majumder, Milton Samirakshma Bepari, Rajib Roy, Sushmita Nandi
Publikováno v:
O-COCOSDA
This paper describes acoustic analysis of vowels in five different low resource languages of Nagaland namely Nagamese, Ao, Lotha, Sumi and Angami from North-Eastern India. Six major vowels (/u/, /o/, /a/, /a/, /e/, /i/) are studied for these language
Publikováno v:
2016 Conference of The Oriental Chapter of International Committee for Coordination and Standardization of Speech Databases and Assessment Techniques (O-COCOSDA).
Real world speech data specially telephone conversations recorded in different background situations pose greater challenge for automatic speaker diarization and recognition. Limited numbers of real-world conversational speech resources restrict the
Publikováno v:
2016 Conference of The Oriental Chapter of International Committee for Coordination and Standardization of Speech Databases and Assessment Techniques (O-COCOSDA).
Speaker Diarization task consists of inferring “who spoke when” in an audio stream without any prior knoniedge. It is an important task in audio processing and retrieval A concise overview of speaker diarization problem and available solutions ar
Publikováno v:
O-COCOSDA
The Japanese-English aligned Basic Travel Expression Corpus (BTEC) has been used as a basic dataset for development of real-world Speech-to-Speech Translation (S2ST) systems in related prior studies. This paper presents a detailed statistical analysi
Publikováno v:
O-COCOSDA/CASLRE
Blind Source Separation (BSS) refers to a problem where both the sources and the mixing methodology are unknown, only mixture signals are available for further separation process. In several situations it is desirable to recover all individual source