The History of Speech Recognition to the Year 2030
원문 초록
The decade from 2010 to 2020 saw remarkable improvements in automatic speech recognition. Many people now use speech recognition on a daily basis, for example to perform voice search queries, send text messages, and interact with voice assistants like Amazon Alexa and Siri by Apple. Before 2010 most people rarely used speech recognition. Given the remarkable changes in the state of speech recognition over the previous decade, what can we expect over the coming decade? I attempt to forecast the state of speech recognition research and applications by the year 2030. While the changes to general speech recognition accuracy will not be as dramatic as in the previous decade, I suggest we have an exciting decade of progress in speech technology ahead of us.
함께 살펴볼 논문
공통 태그를 근거로 연결했습니다. 실제 인용 관계나 논문의 우수성을 뜻하지 않습니다.
Addressing Pitfalls in Auditing Practices of Automatic Speech Recognition Technologies: A Case Study of People with Aphasia
Unsupervised Rhythm and Voice Conversion to Improve ASR on Dysarthric Speech
Towards Temporally Explainable Dysarthric Speech Clarity Assessment
Vedavani: A Benchmark Corpus for ASR on Vedic Sanskrit Poetry
BeaverTalk: Oregon State University's IWSLT 2025 Simultaneous Speech Translation System
Exploring Generative Error Correction for Dysarthric Speech Recognition
토론
이 논문과 연결된 포럼 글이 아직 없습니다.