The post Exploring the Advancements and Applications of Speech Recognition Technology appeared on BitcoinEthereumNews.com.

Ted Hisokawa Sep 05, 2024 11:27 Discover the latest advancements, benefits, and applications of speech recognition technology, including how to choose the right API for your needs. The use of speech recognition technology is rapidly growing, with projections indicating an annual growth rate of over 14% for the foreseeable future, according to AssemblyAI. This surge is driven by advancements in AI research, making speech recognition models more accurate and accessible than ever before. These improvements, combined with increased digital audio and video consumption, are transforming how we interact with this technology in both personal and professional settings. What is Speech Recognition? Speech recognition, also known as speech-to-text or Automatic Speech Recognition (ASR), utilizes Artificial Intelligence (AI) or Machine Learning to convert spoken words into readable text. The technology dates back to 1952 with Bell Labs’ creation of “Audrey,” a digit recognizer. Over the years, advancements have transitioned from classical Machine Learning techniques like Hidden Markov Models to modern deep learning approaches, such as those detailed in Baidu’s seminal paper Deep Speech: Scaling up end-to-end speech recognition. How Does Speech Recognition Work? Modern speech recognition models typically follow an end-to-end deep learning approach, comprising three main steps: audio preprocessing, the deep learning speech recognition model, and text formatting. Audio preprocessing involves transcoding, normalization, and segmentation of audio inputs. The deep learning model then maps the audio to a sequence of words using Transformer and Conformer architectures. Finally, text formatting ensures the output is readable by adding punctuation and correcting casing. Factors such as accents, background noise, and language quality can impact the accuracy of speech recognition models. Leading models like AssemblyAI’s Universal-1 are trained on millions of hours of multilingual audio data to overcome these challenges, achieving near-human accuracy even in diverse conditions. Applications of Speech Recognition Speech recognition technology extends…

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Filed under: News - @ September 5, 2024 12:21 pm