Cargando…
Developing sequentially trained robust Punjabi speech recognition system under matched and mismatched conditions
Development of a native language robust ASR framework is very challenging as well as an active area of research. Although an urge for investigation of effective front-end as well as back-end approaches are required for tackling environment differences, large training complexity and inter-speaker var...
Autores principales: | Bawa, Puneet, Kadyan, Virender, Tripathy, Abinash, Singh, Thipendra P. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9160864/ https://www.ncbi.nlm.nih.gov/pubmed/35668730 http://dx.doi.org/10.1007/s40747-022-00651-7 |
Ejemplares similares
-
30th Punjabis
por: Lawford, James Philip
Publicado: (1972) -
Sex-mismatch benefit for speech-in-speech recognition by pediatric and adult cochlear implant users
por: Richter, Margaret E., et al.
Publicado: (2021) -
Incorporating Noise Robustness in Speech Command Recognition by Noise Augmentation of Training Data
por: Pervaiz, Ayesha, et al.
Publicado: (2020) -
Normal Haematological Values in Young Punjabi Females
por: Singh, Man Mohan, et al.
Publicado: (1953) -
Techniques for noise robustness in automatic speech recognition
por: Virtanen, Tuomas, et al.
Publicado: (2013)