Matches in SemOpenAlex for { <https://semopenalex.org/work/W4285405669> ?p ?o ?g. }
Showing items 1 to 69 of
69
with 100 items per page.
- W4285405669 endingPage "30" @default.
- W4285405669 startingPage "21" @default.
- W4285405669 abstract "The proposed methodology presented in the paper deals with solving the problem of multilingual speech recognition. Current text and speech recognition and translation methods have a very low accuracy in translating sentences which contain a mixture of two or more different languages. The paper proposes a novel approach to tackling this problem and highlights some of the drawbacks of current recognition and translation methods. The proposed approach deals with recognition of audio queries which contain a mixture of words in two different languages - Kannada and English. The novelty in the approach presented, is the use of a next Word Prediction model in combination with a Deep Learning speech recognition model to accurately recognise and convert the input audio query to text. Another method proposed to solve the problem of multilingual speech recognition and translation is the use of cosine similarity between the audio features of words for fast and accurate recognition. The dataset used for training and testing the models was generated manually by the authors as there was no pre-existing audio and text dataset which contained sentences in a mixture of both Kannada and English. The DL speech recognition model in combination with the Word Prediction model gives an accuracy of 71% when tested on the in-house multilingual dataset. This method outperforms other existing translation and recognition solutions for the same test set. Multilingual translation and recognition is an important problem to tackle as there is a tendency for people to speak in a mixture of languages. By solving this problem, the barrier of language and communication can be lifted and thus can help people connect better and more comfortably with each other." @default.
- W4285405669 created "2022-07-14" @default.
- W4285405669 creator A5015920657 @default.
- W4285405669 date "2022-06-30" @default.
- W4285405669 modified "2023-09-30" @default.
- W4285405669 title "Multilingual Speech to Text using Deep Learning based on MFCC Features" @default.
- W4285405669 doi "https://doi.org/10.5121/mlaij.2022.9202" @default.
- W4285405669 hasPublicationYear "2022" @default.
- W4285405669 type Work @default.
- W4285405669 citedByCount "0" @default.
- W4285405669 crossrefType "journal-article" @default.
- W4285405669 hasAuthorship W4285405669A5015920657 @default.
- W4285405669 hasBestOaLocation W42854056691 @default.
- W4285405669 hasConcept C103278499 @default.
- W4285405669 hasConcept C115961682 @default.
- W4285405669 hasConcept C138885662 @default.
- W4285405669 hasConcept C151989614 @default.
- W4285405669 hasConcept C153180895 @default.
- W4285405669 hasConcept C154945302 @default.
- W4285405669 hasConcept C169903167 @default.
- W4285405669 hasConcept C177264268 @default.
- W4285405669 hasConcept C199360897 @default.
- W4285405669 hasConcept C204321447 @default.
- W4285405669 hasConcept C27206212 @default.
- W4285405669 hasConcept C2778738651 @default.
- W4285405669 hasConcept C2780762811 @default.
- W4285405669 hasConcept C28490314 @default.
- W4285405669 hasConcept C41008148 @default.
- W4285405669 hasConcept C41895202 @default.
- W4285405669 hasConcept C52622490 @default.
- W4285405669 hasConcept C90805587 @default.
- W4285405669 hasConceptScore W4285405669C103278499 @default.
- W4285405669 hasConceptScore W4285405669C115961682 @default.
- W4285405669 hasConceptScore W4285405669C138885662 @default.
- W4285405669 hasConceptScore W4285405669C151989614 @default.
- W4285405669 hasConceptScore W4285405669C153180895 @default.
- W4285405669 hasConceptScore W4285405669C154945302 @default.
- W4285405669 hasConceptScore W4285405669C169903167 @default.
- W4285405669 hasConceptScore W4285405669C177264268 @default.
- W4285405669 hasConceptScore W4285405669C199360897 @default.
- W4285405669 hasConceptScore W4285405669C204321447 @default.
- W4285405669 hasConceptScore W4285405669C27206212 @default.
- W4285405669 hasConceptScore W4285405669C2778738651 @default.
- W4285405669 hasConceptScore W4285405669C2780762811 @default.
- W4285405669 hasConceptScore W4285405669C28490314 @default.
- W4285405669 hasConceptScore W4285405669C41008148 @default.
- W4285405669 hasConceptScore W4285405669C41895202 @default.
- W4285405669 hasConceptScore W4285405669C52622490 @default.
- W4285405669 hasConceptScore W4285405669C90805587 @default.
- W4285405669 hasIssue "02" @default.
- W4285405669 hasLocation W42854056691 @default.
- W4285405669 hasOpenAccess W4285405669 @default.
- W4285405669 hasPrimaryLocation W42854056691 @default.
- W4285405669 hasRelatedWork W2110891728 @default.
- W4285405669 hasRelatedWork W2151108588 @default.
- W4285405669 hasRelatedWork W2559461694 @default.
- W4285405669 hasRelatedWork W2605128132 @default.
- W4285405669 hasRelatedWork W2786259169 @default.
- W4285405669 hasRelatedWork W2950037435 @default.
- W4285405669 hasRelatedWork W2951029798 @default.
- W4285405669 hasRelatedWork W3152530645 @default.
- W4285405669 hasRelatedWork W3175251692 @default.
- W4285405669 hasRelatedWork W4288388626 @default.
- W4285405669 hasVolume "9" @default.
- W4285405669 isParatext "false" @default.
- W4285405669 isRetracted "false" @default.
- W4285405669 workType "article" @default.