Research on speech recognition and its application in language disorders
- DOI
- 10.2991/978-94-6463-540-9_55How to use a DOI?
- Keywords
- Speech recognition; emotion recognition; algorithm research; deep neural network; HMM
- Abstract
Since ancient times, language has been a fundamental medium for human communication and the expression of thoughts. The advancement of speech recognition technology has significantly enhanced the efficiency of generating, transmitting, storing, and acquiring speech information, thereby facilitating more convenient human-computer interaction. This technology is crucial in advancing societal progress by striving to develop machines that can understand and respond to human language naturally and empathetically. Moreover, speech recognition technology has revolutionized various fields, including healthcare, education, and customer service, by enabling real-time transcription, language translation, and voice-activated assistants. Despite the substantial progress made, the technology continues to evolve, particularly with the integration of deep learning and emotion recognition, paving the way for more sophisticated and empathetic human-computer interactions. These advancements aim to create a seamless and intuitive communication experience, bridging the gap between human and machine interactions and enhancing the overall user experience. In conclusion, the ongoing development of speech recognition technology promises to unlock new potentials and applications, further embedding itself as an indispensable tool in our daily lives.
- Copyright
- © 2024 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Kangbo Wei PY - 2024 DA - 2024/10/16 TI - Research on speech recognition and its application in language disorders BT - Proceedings of the 2024 2nd International Conference on Image, Algorithms and Artificial Intelligence (ICIAAI 2024) PB - Atlantis Press SP - 553 EP - 562 SN - 2352-538X UR - https://doi.org/10.2991/978-94-6463-540-9_55 DO - 10.2991/978-94-6463-540-9_55 ID - Wei2024 ER -