In 2019, the global voice interaction market reached $1.3 billion, and it is expected to grow to $6.9 billion by 2025, with widespread applications in smart home, in-car voice, intelligent customer service, and other industries and scenarios. The author has been engaged in voice interaction products for over a year, summarizing the concept definition, advantages … Read more
Illustration by Jay Bendt Written by Wade Roush Translated by Zhao Jianlin Looking back to 2010, Matt Thompson predicted in a commentary article for NPR that “in the near future, automatic speech transcription technology will become quick, user-friendly, and free.” He referred to that moment as the “speech singularity,” cleverly borrowing from inventor Ray Kurzweil’s … Read more
Selected from Awni Translated by Machine Heart Contributors:Nurhachu Null, Lu Xue After the application of deep learning in the field of speech recognition, the word error rate has significantly decreased. However, speech recognition has not yet reached human levels and still has multiple unresolved issues. This article introduces the unresolved problems in speech recognition from … Read more
Author | Migüel Jetté Translation | bluemin Editor | Chen Caixian In the past two years, Automatic Speech Recognition (ASR) has made significant developments in commercial applications, one of the metrics being: Several enterprise-level ASR models based entirely on neural networks have successfully been launched, such as Alexa, Rev, AssemblyAI, ASAPP, etc. In 2016, Microsoft … Read more
“ Artificial intelligence is now closely related to our lives, and it represents the development path and direction in the post-internet era. AI is divided into five fields: natural language processing, computer vision, speech recognition, expert systems, and interdisciplinary fields. Today, we will explore some interesting applications in the field of speech recognition~ ” Nowadays, … Read more
Voice recognition technology, also known as Automatic Speech Recognition (ASR), aims to convert the vocabulary content of human speech into computer-readable input, such as keystrokes, binary codes, or character sequences. Unlike speaker recognition and speaker verification, which attempt to identify or confirm the speaker of the speech rather than the vocabulary content contained within it. … Read more
Speech is the most natural way for humans to interact. After the invention of computers, enabling machines to ‘understand’ human language, comprehend the intrinsic meaning within language, and provide correct responses became a pursuit for people. We all hope to have intelligent and advanced robotic assistants like those in science fiction movies, which can understand … Read more
1. Concept of Speech Recognition Speech recognition technology, also known as Automatic Speech Recognition (ASR), aims to convert the vocabulary content of human speech into computer-readable input, such as keystrokes, binary codes, or character sequences. In simple terms, speech recognition technology allows intelligent devices to understand human speech. It is a science that involves multiple … Read more
Original link: https://arxiv.org/pdf/1909.06317.pdf Abstract Sequence-to-sequence models are widely used in end-to-end speech processing, such as Automatic Speech Recognition (ASR), Speech Translation (ST), and Text-to-Speech (TTS). This paper focuses on a novel sequence-to-sequence model called the Transformer, which has achieved state-of-the-art performance in neural machine translation and other natural language processing applications. We conducted an in-depth … Read more
Illustration by Jay Bendt Written by Wade Roush Translated by Zhao Jianlin Looking back to 2010, Matt Thompson predicted in a commentary for NPR that “in the near future, automatic speech transcription technology will become fast, easy to use, and free.” He referred to that moment as the “speech singularity,” cleverly borrowing from inventor Ray … Read more