• Autistic spectrum disorders often result in major difficulties in comprehending verbal information and speech processing.

    自闭症常常导致人们在理解言语信息和言语处理方面存在重大困难。

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  • 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。

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  • 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。

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  • Humans have no problems listening to speech and processing sounds simultaneously (think music and chords).

    人们可以同时处理语音和声音(就像音乐与和弦)。

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  • A British study shows that the brain areas devoted to processing speech develop much more quickly than was thought and could lead to new insights into conditions such as autism.

    一项英国研究显示,负责语音处理的大脑部位的发育比人们所想的要快得多,这一发现可能会对治疗自闭症等疾病有所启发。

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  • It's also extensible, with packages developed by users for speech processing, optimization, symbolic computation, and others.

    可以很容易利用用户开发的用来进行语音处理、优化、符号计算等的包对它进行扩展。

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  • This is curious to the speech processing centers of our brains, apparently, and causes us to become distracted in trying to make sense of the conversation.

    我们大脑的语言处理中心却对此很感兴趣,于是在它试着弄明白这个对话的时候我们就分神了。

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  • 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。

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  • 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。

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  • 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。

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  • One set of MRI images focused on grey matter at the brain's wrinkled surface, or cortex, where the processing of memory, emotions, speech, sight, hearing and motor control occurs.

    一组磁共振成像主要关注大脑褶皱层或者脑皮层上的灰质组织,这些组织是用来处理记忆、情绪、演讲、视觉、听力和电动机操作的地方。

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  • Indeed, Stair represents a new wave of ai, one that integrates learning, vision, navigation, manipulation, planning, reasoning, speech and natural-language processing.

    Stair确实代表了人工智能的一个新潮流,它集成了学习、视觉、导航、搬运、规划、推理、言语和自然语言处理等多项技术。

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  • British study shows that the brain areas devoted to processing speech develop much more quickly than was thought and could lead to new insights into conditions such as autism.

    一项英国研究显示,负责语音处理的大脑部位的发育比人们所想的要快得多,这一发现可能会对治疗自闭症等疾病有所启发。

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  • There is long time of speech signal processing and it presents the extensive practical field.

    语音信号处理有广泛的应用领域,也有较长的研究历史。

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  • Ackermann suspects that this may be because the right brain is specialized for processing low-frequency information, which is typical of speech, but this theory is still unproved.

    Ackermann怀疑这可能是因为右侧大脑专门负责处理低频率的信息,说话就是很典型的一种,但这个假说还没被证实。

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  • 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。

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  • 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。

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  • Emotional speech processing recognizes the user's emotional state by analyzing speech patterns.

    情感语音处理识别用户的情绪状态进行分析,说话方式。

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  • 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。

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  • 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。

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  • This paper is a research experiment teaching case that the author develops in the course of speech processing.

    本文是笔者所开发的语音信号处理课程中的一个研究型实验教学案例。

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  • With the development of modern science and technology, as a multidisciplinary and comprehensive subject, digital speech signal processing has become a hot research area nowadays.

    随着现代科学技术的蓬勃发展,数字语音信号处理作为一个跨学科、综合性的研究领域已成为当今的一个研究热点。

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  • Speech signal acquisition and processing is the precondition and foundation of human-computer speech interaction.

    语音信号的采集和处理是计算机语音交互的前提和基础。

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  • Speech processing systems are inevitably interfered by various noise.

    语音处理系统都不可避免地要受到各种噪声的干扰。

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  • In the digital processing of speech signals, speech coding technique is most important.

    在语音信号数字处理过程中,语音编码技术是至关重要的。

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  • CIS algorithm of cochlear implants' speech signal processing is achieved through hardware method.

    文中采用硬件方法对人工耳蜗语音信号处理的CIS算法加以实现。

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  • 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。

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  • 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。

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  • 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。

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