Speech recognition enables them to understand what a person is saying, and natural language processing is used to work out a response.
语音识别功能使他们能够理解人所说的话，而自然语言处理功能用于做出回应。
A speech recognition system must expend significant processing to turn your speech into text.
语音识别系统必须付出大量的处理把您的语音转为文本。
For many years, computer users have been able to run processor-intensive speech recognition applications executing commands based on voice processing and requiring extensive configuration.
多年来，计算机用户都能够运行处理器密集型的语音识别应用程序来基于声音处理执行命令，但这常常需要进行大量的配置。
The falling costs of processing power and storage capacity have also helped make speech recognition more accurate.
处理能力和存储容量成本的降低同样帮助语音识别系统更加准确。
By contrast, the text-processing hardware requirements are negligible and can be run on the same machine without affecting the performance of the speech-recognition processing.
相比之下，文本处理的硬件要求微不足道，并且可以在同一台计算机上运行，而不会影响语音识别处理的性能。
Speech recognition, which focuses on speech as object, is an important research direction of speech signal processing and a primary technology to realize the communication between human and machines.
语音识别是以语音为研究对象，是语音信号处理的一个重要研究方向，是实现人机通信的主要技术。
Now automatic speech recognition (ASR) is not a simplex signal processing. The natural language processing is more and more regarded in Chinese ASR.
汉语语音识别的研究越来越重视与语言处理的结合，语音识别已经不是单纯的语音信号处理。
Always, the processing of the audio frequency signal is mainly concentrated on speech processing, such as speech recognition and talks identify etc.
一直以来，音频信号的处理主要集中于语音识别、说话者识别等语音处理方面的研究。
Neural networks and deep learning currently provide the best solutions to many problems in image recognition, speech recognition, and natural language processing.
神经网络与深度学习现在为解决许多问题提供了最佳解决方案，例如图像识别、语音识别和自然语言分析。
This paper also introduces HMM model and speech digital signal processing associated with speech recognition .
理论上详细介绍了HMM模型及与语音识别相关的语音数字信号处理。
The wavelet analysis is applying widely to pure mathematics, applied mathematics, signal processing, speech recognition and synthesis, automation processing and image analysis etc.
小波分析已经广泛应用于理论数学、应用数学、信号处理、语音识别与合成、自动控制和图像处理与分析等领域。
Speech recognition is a hot issue in the field of speech signal processing, and always is difficult, especially for the independent person in the noisy environment.
语音识别是语音信号处理领域的研究热点，它长期以来一直是一项难题，尤其是对于噪声环境下以及非特定人语音识别。
Word sense disambiguation (WSD) plays an important role in many areas of natural language processing such as machine translation, information retrieval, sentence analysis, speech recognition.
词义排歧在机器翻译、信息检索、句子分析和语音识别等许多领域有重要的作用。
This paper is involved in aspects of linguistic acoustics, including phonetics, text to speech, speech recognition and natural language processing(NLP).
本文涉及语言声学的语音学研究、文语转换 技术、语音识别 技术及自然语言处理等方面。
Speech recognition is one of the hotspots in current research and pre-processing technology plays a very important role in speech recognition.
语音识别是当今研究的热点，预处理技术是语音识别中的非常重要的环节。
Speech Recognition Technology is related to Signal Processing, Pattern Recognition, Probability and Information Theory, Speech Subject and Artificial Intelligence and so on.
语音识别技术是一门涉及信号处理技术、模式识别、概率论和信息论、语音学、人工智能等多种学科的交叉科学。
Speech Recognition Technology is related to Signal Processing, Pattern Recognition, Probability and Information Theory, Speech Subject and Artificial Intelligence and so on.
语音识别技术是一门涉及信号处理技术、模式识别、概率论和信息论、语音学、人工智能等多种学科的交叉科学。
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