標(biāo)題: Titlebook: Automatic Speech Recognition on Mobile Devices and over Communication Networks; Zheng-Hua Tan,B?rge Lindberg Book 2008 Springer-Verlag Lon [打印本頁(yè)] 作者: 乳缽 時(shí)間: 2025-3-21 17:31
書(shū)目名稱(chēng)Automatic Speech Recognition on Mobile Devices and over Communication Networks影響因子(影響力)
書(shū)目名稱(chēng)Automatic Speech Recognition on Mobile Devices and over Communication Networks影響因子(影響力)學(xué)科排名
書(shū)目名稱(chēng)Automatic Speech Recognition on Mobile Devices and over Communication Networks網(wǎng)絡(luò)公開(kāi)度
書(shū)目名稱(chēng)Automatic Speech Recognition on Mobile Devices and over Communication Networks網(wǎng)絡(luò)公開(kāi)度學(xué)科排名
書(shū)目名稱(chēng)Automatic Speech Recognition on Mobile Devices and over Communication Networks被引頻次
書(shū)目名稱(chēng)Automatic Speech Recognition on Mobile Devices and over Communication Networks被引頻次學(xué)科排名
書(shū)目名稱(chēng)Automatic Speech Recognition on Mobile Devices and over Communication Networks年度引用
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書(shū)目名稱(chēng)Automatic Speech Recognition on Mobile Devices and over Communication Networks讀者反饋
書(shū)目名稱(chēng)Automatic Speech Recognition on Mobile Devices and over Communication Networks讀者反饋學(xué)科排名
作者: Heresy 時(shí)間: 2025-3-21 23:39 作者: 連詞 時(shí)間: 2025-3-22 01:13
Psychosomatic Medicine in Modern Greecenetworks. In particular, a speech coder that is optimized for automatic speech recognition (ASR) is presented, where it provides speech quality comparable to the conventional standard speech coders used in the IP networks. In addition, we compare the performance of NSR using the ASR-optimized speech coder to that using a conventional speech coder.作者: dyspareunia 時(shí)間: 2025-3-22 06:41
Timo Kivist?,Veli Matti Virolainenrequency) from the terminal device. An alternative method of back-end speech reconstruction is then explained, where the voicing and fundamental frequency are predicted from the received MFCC vectors. This enables speech to be reconstructed solely from the MFCC vector stream and requires no explicit voicing and fundamental frequency transmission.作者: GOAD 時(shí)間: 2025-3-22 09:05
Bryan F. Mansfield,Keith F. SniderDSR and describe the use of a perceptually weighted distance measure to enhance spectral peaks in vector quantization. Finally, we present some experimental results on the quantization schemes in a DSR framework and compare their relative recognition performances.作者: 背心 時(shí)間: 2025-3-22 16:47
Quality as a Cost Improvement Techniquearameter representation a simple scalar quantized representation is shown for the case of quantized HMMs (qHMMs). The effects on computational complexity are also reviewed for all the compression methods presented.作者: ACTIN 時(shí)間: 2025-3-22 20:05 作者: KIN 時(shí)間: 2025-3-23 00:49
Speech Recognition Over IP Networksnetworks. In particular, a speech coder that is optimized for automatic speech recognition (ASR) is presented, where it provides speech quality comparable to the conventional standard speech coders used in the IP networks. In addition, we compare the performance of NSR using the ASR-optimized speech coder to that using a conventional speech coder.作者: Synthesize 時(shí)間: 2025-3-23 02:36
Speech Feature Extraction and Reconstructionrequency) from the terminal device. An alternative method of back-end speech reconstruction is then explained, where the voicing and fundamental frequency are predicted from the received MFCC vectors. This enables speech to be reconstructed solely from the MFCC vector stream and requires no explicit voicing and fundamental frequency transmission.作者: 浮雕 時(shí)間: 2025-3-23 08:14 作者: labile 時(shí)間: 2025-3-23 09:58 作者: enfeeble 時(shí)間: 2025-3-23 15:23 作者: Epithelium 時(shí)間: 2025-3-23 19:59
Book 2008rch and practical application deployment. This book covers the most up-to-date standards and a number of systems...This all-inclusive reference is an essential read for graduate students, scientists and engineers working or researching in the field of speech recognition and processing..作者: 傲慢物 時(shí)間: 2025-3-23 23:01
Calogero Guccio,Domenico Lisi,Ilde Rizzooping and agreeing the standards substantial performance testing was conducted and these results are also summarised here. While other chapters provide more general information about feature extraction and channel error processing for DSR this chapter focuses on introducing the specifics of the standards.作者: 包裹 時(shí)間: 2025-3-24 03:16
Distributed Speech Recognition Standardsoping and agreeing the standards substantial performance testing was conducted and these results are also summarised here. While other chapters provide more general information about feature extraction and channel error processing for DSR this chapter focuses on introducing the specifics of the standards.作者: 包裹 時(shí)間: 2025-3-24 10:25 作者: podiatrist 時(shí)間: 2025-3-24 12:40 作者: ALLEY 時(shí)間: 2025-3-24 16:40 作者: debacle 時(shí)間: 2025-3-24 20:17 作者: 浮雕 時(shí)間: 2025-3-25 01:47
Psychosomatic Medicine in Sub-Saharan Africaf the time coded) from a client terminal to a recognition server. The first part describes some commonly used speech coding standards and presents a packet loss model useful to evaluate different channel degradation conditions in a controlled fashion. The second part evaluates the influence of diffe作者: NATTY 時(shí)間: 2025-3-25 03:51 作者: 蒙太奇 時(shí)間: 2025-3-25 10:07 作者: reserve 時(shí)間: 2025-3-25 14:28
Calogero Guccio,Domenico Lisi,Ilde Rizzocreated to ensure interoperability between the feature extraction running on a client device and a compatible recogniser running on a remote server. They are intended for use in the implementation of commercial services for speech and multimodal services over mobile networks. In the process of devel作者: 意見(jiàn)一致 時(shí)間: 2025-3-25 18:39
Timo Kivist?,Veli Matti Virolainen and the work carried out by the ETSI Aurora group. Feature extraction is examined first and begins with a basic implementation of mel-frequency cepstral coefficients (MFCCs). Additional processing, in the form of noise and channel compensation, is explained and has the aim of increasing speech reco作者: 頌揚(yáng)本人 時(shí)間: 2025-3-25 22:46 作者: 使虛弱 時(shí)間: 2025-3-26 03:44
Calogero Guccio,Domenico Lisi,Ilde Rizzoreless or network communication channels within DSR systems are typically noisy and bursty. Thus, DSR systems must utilize efficient Error Recovery (ER) schemes during transmission of speech information. Some ER strategies, referred to as forward error control (FEC), aim to create redundancy in the 作者: linguistics 時(shí)間: 2025-3-26 04:59 作者: FLIT 時(shí)間: 2025-3-26 11:47 作者: unstable-angina 時(shí)間: 2025-3-26 14:39 作者: Cirrhosis 時(shí)間: 2025-3-26 20:11
Measurements of Purchasing Performanceunit cost for components produced in very large numbers (cell phones, set-top boxes). Both requirements are addressed by CPU’s with integer-only arithmetic units which motivate the fixed-point arithmetic implementation of automatic speech recognition (ASR) algorithms. Large vocabulary continuous spe作者: 凌辱 時(shí)間: 2025-3-26 20:59
Global Purchasing and Supply Management architectural decision is whether to embed these speech engines on the mobile device or to locate them in the network. While both approaches have advantages, our focus here is on networked speech application architectures. Because user experience with speech is greatly improved when the speech moda作者: 提升 時(shí)間: 2025-3-27 01:40
Strategic Purchasing Supply Initiativesle phones. In these devices more traditional ways of interaction (e.g. keyboard and display) are limited by small size, battery life and cost. Speech is considered as a natural way of interaction for man-machine interfaces. After decades of research and development, voice UIs are becoming widely dep作者: LAITY 時(shí)間: 2025-3-27 09:02 作者: 抵押貸款 時(shí)間: 2025-3-27 11:46
Strategic Purchasing Supply Initiativesincluding telephony, audio devices and destination inputs for navigation can be done via voice. Concerning speech recognition technology biggest the challenge is the recognition of large vocabularies in noisy environments using cost sensitive hardware platforms. Further intuitive dialog design coupl作者: syring 時(shí)間: 2025-3-27 13:36 作者: 行業(yè) 時(shí)間: 2025-3-27 20:49
https://doi.org/10.1007/978-1-84800-143-5Distributed systems; Embedded systems; HCI; Handheld devices; Internet; Mobile environments; Speech recogn作者: 值得贊賞 時(shí)間: 2025-3-27 22:54 作者: excrete 時(shí)間: 2025-3-28 03:02
Zheng-Hua Tan,B?rge LindbergProvides a profound and unified introduction about the topic and its latest development.Presents working knowledge needed for research and practical application deployment.Broad coverage spanning from作者: 口音在加重 時(shí)間: 2025-3-28 08:35 作者: committed 時(shí)間: 2025-3-28 10:41 作者: 執(zhí)拗 時(shí)間: 2025-3-28 18:31 作者: 共同時(shí)代 時(shí)間: 2025-3-28 20:15 作者: evanescent 時(shí)間: 2025-3-28 22:57
Speech Recognition Over IP Networks and several speech coders used for voice over IP, where the performance of a network speech recognition (NSR) system can significantly degrade. Second, several techniques for maintaining the performance of NSR against packet loss are addressed. The techniques are classified into client-based techni作者: 抒情短詩(shī) 時(shí)間: 2025-3-29 03:17
Distributed Speech Recognition Standardscreated to ensure interoperability between the feature extraction running on a client device and a compatible recogniser running on a remote server. They are intended for use in the implementation of commercial services for speech and multimodal services over mobile networks. In the process of devel作者: 自傳 時(shí)間: 2025-3-29 08:44 作者: 沒(méi)花的是打擾 時(shí)間: 2025-3-29 14:42 作者: 代替 時(shí)間: 2025-3-29 15:44
Error Recovery: Channel Coding and Packetizationreless or network communication channels within DSR systems are typically noisy and bursty. Thus, DSR systems must utilize efficient Error Recovery (ER) schemes during transmission of speech information. Some ER strategies, referred to as forward error control (FEC), aim to create redundancy in the 作者: 謊言 時(shí)間: 2025-3-29 19:54
Error Concealmenthe network. While there are good reasons for doing so, a disadvantage of this client-server architecture is clearly that the communication medium may introduce errors, which then impairs speech recognition accuracy. Even sophisticated channel coding cannot completely prevent the occurrence of residu作者: commodity 時(shí)間: 2025-3-29 23:52
Algorithm Optimizations: Low Computational Complexity us to use ever more complex algorithms in server-based large vocabulary ASR systems (e.g. in telephony applications), the capability of embedded platforms will always lag behind. Nevertheless as the popularity of ASR application grows, we can expect an increasing demand for functionality on embedde作者: Cosmopolitan 時(shí)間: 2025-3-30 05:04
Algorithm Optimizations: Low Memory Footprinttatic (long-term) and dynamic (run-time) in this chapter we focus mainly on the long-term memory requirements and, more specifically, on the techniques for acoustic model compression. As all compression methods, acoustic model compression is exploiting redundancies within the data as well as the lim作者: Density 時(shí)間: 2025-3-30 09:52 作者: insular 時(shí)間: 2025-3-30 12:44 作者: 頂點(diǎn) 時(shí)間: 2025-3-30 18:33 作者: overweight 時(shí)間: 2025-3-30 23:53 作者: CHASE 時(shí)間: 2025-3-31 02:25 作者: 文件夾 時(shí)間: 2025-3-31 06:15 作者: 入伍儀式 時(shí)間: 2025-3-31 12:27 作者: Memorial 時(shí)間: 2025-3-31 14:13 作者: 強(qiáng)制令 時(shí)間: 2025-3-31 18:35
Speech Recognition Over Mobile Networksgating the effects of speech coding distortions in the received speech signal, a bitstream-based framework has been proposed. In this framework, the direct transformation of speech coding parameters to speech recognition parameters is performed as a means of improving ASR performance. Furthermore, i作者: 對(duì)待 時(shí)間: 2025-4-1 01:36 作者: Traumatic-Grief 時(shí)間: 2025-4-1 05:46 作者: Jejune 時(shí)間: 2025-4-1 06:27 作者: 勤勉 時(shí)間: 2025-4-1 12:43
Fixed-Point Arithmeticint algorithms. In particular, the chapter illustrates a practical approach to the implementation of the frame-synchronous beam-search Viterbi decoder, N-grams language models, HMM likelihood computation and mel-cepstrum front-end. The fixed-point recognizer is shown to be as accurate as the floatin作者: infatuation 時(shí)間: 2025-4-1 18:05 作者: 富饒 時(shí)間: 2025-4-1 21:49
Handheld Speech to Speech Translation Systement. While we will briefly describe the client/server approach, we will mainly focus on the approach that the end-to-end speech-to-speech translation system is completely hosted on the handheld devices. We will describe the challenges and algorithm and code optimization solutions we developed for th
