Zobrazeno 1 - 10
of 295
pro vyhledávání: '"VoxForge"'
Publikováno v:
IEEE Access, Vol 8, Pp 182868-182887 (2020)
This era is dominated by artificial intelligence and its various applications - one of which is Spoken Language Identification (S-LID) which has always been a challenging issue and an important research area in the domain of speech signal processing.
Publikováno v:
Soft Computing. 24:5271-5287
This paper presents a method for the extraction of twofold information set (TFIS) features for the text-independent speaker recognition. The method takes the Mel frequency cepstral coefficients from the frames of a sample speech signal and forms a ma
Exploring the use of Common Label Set to Improve Speech Recognition of Low Resource Indian Languages
Autor:
Srinivasan Umesh, Vishwas M. Shetty
Publikováno v:
ICASSP
In many Indian languages, written characters are organized on sound phonetic principles, and the ordering of characters is the same across many of them. However, while training conventional end-to-end (E2E) Multilingual speech recognition systems, we
Autor:
Milan Sigmund
Publikováno v:
Frontiers in Robotics, Automation and Control
Acoustical communication is one of the fundamental prerequisites for the existence of human society. Textual language has become extremely important in modern life, but speech has dimensions of richness that text cannot approximate. From speech alone
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6fe880bb360e6d41d8055530fe653fda
http://www.intechopen.com/articles/show/title/automatic_speaker_recognition_by_speech_signal
http://www.intechopen.com/articles/show/title/automatic_speaker_recognition_by_speech_signal
Autor:
Dirk Van Compernolle, Reza Sahraeian
Publikováno v:
IEEE/ACM Transactions on Audio, Speech, and Language Processing. 25:2301-2312
Speech signals are produced by the smooth and continuous movements of the human articulators. An articulatory representation of speech is considered to be a more compact, more universal, and language-independent speech feature space and can, therefor
Autor:
Jeevan Medikonda, Hanmandlu Madasu
Publikováno v:
International Journal of Speech Technology. 21:451-461
In this paper Type-2 Information Set (T2IS) features and Hanman Transform (HT) features as Higher Order Information Set (HOIS) based features are proposed for the text independent speaker recognition. The speech signals of different speakers represen
Publikováno v:
ACM Transactions on Asian and Low-Resource Language Information Processing. 17:1-14
Language analysis is very important for the native speaker to connect with the digital world. Assamese is a relatively unexplored language. In this report, we analyze different aspects of speech-to-text processing, starting from building a speech cor
Publikováno v:
International journal of Emerging Trends in Science and Technology. :5348-5352
Speech to text conversion in various languages have been performed so far but no process has definedfor the Kashmiri language. There has been no research done on Kashmiri speech recognition. So in thiswork, we describe the development as well as impl
Autor:
Mohammad A. M. Abushariah
Publikováno v:
International Journal of Speech Technology. 20:261-280
This research work aims to disseminate the efforts towards developing and evaluating TAMEEM V1.0, which is a state-of-the-art pure Modern Standard Arabic (MSA), automatic, continuous, speaker independent, and text independent speech recognizer using
Autor:
Dzufiqar Ridha, Suyanto Suyanto
Publikováno v:
2019 International Seminar on Research of Information Technology and Intelligent Systems (ISRITI).
Speaker recognition is one of the biometric technologies to recognize humans, such as identification of fingerprints, DNA, and iris because the characteristics of human speech are unique. The characteristics of speech are dominated by voiced segment.