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モバイルデバイスの言語認識:音声認識の技術、アプリケーション、市場Speech Recognition in Mobile Devices
目次
In the past few years, mobile automatic speech recognition (ASR) has made meaningful gains in both recognition accuracy and the complexity of applications that can be delivered on a mobile device. ABI Research believes the recent improvements in mobile ASR has lead to a greatly improved end user experience, which in turn drives increased usage of speech capabilities. Following the improved user experiences, mobile speech recognition is given the opportunity to ‘make good’ on the promise of delivering a useful, reliable, hands free interaction methodology that has been promised to users since the beginning of modern speech recognition research. What Questions Does This Report Answer?
Who Needs This Report?
Table of ContentsExecutive Brief: Top-Line Forecast Executive Brief: Drivers Executive Brief: Inhibitors Executive Brief: Market Share Executive Brief: Summary and Strategic Recommendations Section 1. Executive Summary 1.1. Mobile Speech Recognition 1.1.1. Embedded Speech Recognition 1.1.2. Network-Based Speech Recognition 1.2. Market Overview Section 2. Market Issues 2.1. Market Overview 2.1.1. Speech Recognition Engines 2.1.2. Speech Recognition Platforms 2.1.3. Revenue Opportunities for Speech-Enabled Applications 2.2. Drivers of Mobile Speech Recognition 2.2.1. Service and Content Discovery 2.2.2. Voice Control as a Utility 2.2.3. Improved Recognition Accuracy 2.2.4. Increased Processing Power in Handsets and Mobile Devices 2.2.5. Increased Smartphone and 3G Penetration 2.2.6. Automotive ASR 2.2.7. Telecommunications Act, Section 255 - Accessibility 2.2.8. Speech as a Service 2.3. Mobile Speech Recognition Barriers 2.3.1. Consumer Awareness and Perception 2.3.2. Real World Mobile Usage 2.3.3. Recognition Engine Development and Talent Acquisition 2.4. Critical Concerns 2.4.1. The Oligarchy of Embedded Mobile Speech Applications 2.4.2. Implications of Mobile Application Storefront Choice Section 3. Technology Issues 3.1. Mobile Speech Recognition Defined 3.2. Historical Development of Speech Recognition 3.3. Traditional Speech Recognition Concepts 3.3.1. Embedded Speech Recognition 3.3.2. Network-Based Speech Recognition 3.3.3. Hybrid or Distributed Speech Recognition 3.3.4. Speaker Dependency 3.3.5. Hidden Markov Model 3.3.6. Context-Free or Natural Language Input 3.3.7. Ambient Noise and the Mobile Environment 3.3.8. Multimodal Interaction 3.3.9. Speech Synthesis or Text-to-Speech 3.4. Programming Standards for Speech Recognition 3.4.1. VoiceXML 3.4.2. Call Control XML 3.4.3. Speech Recognition Grammar Specifications 3.4.4. Semantic Interpretation for Speech Recognition 3.4.5. Speech Synthesis Markup Language 3.4.6. Extensible MultiModal Annotation 3.5. Processing Requirements for Speech Recognition Section 4. Key Industry Players 4.1. Loquendo 4.2. Promptu 4.3. IBM 4.4. Vlingo (AT&T) 4.5. Google 4.6. Tellme (Microsoft) 4.7. Yap 4.8. Nuance 4.9. Sensory Inc 4.10. SVOX Section 5. Market Forecasts 5.1. Embedded Speech Recognition in Smartphones 5.2. Embedded Speech Recognition in PNDs 5.3. Embedded Speech Recognition in Mobile CE 5.4. Embedded Speech Recognition Licensing Revenues 5.5. Speech Recognition Service Subscriptions 5.6. Speech Recognition Service Revenues Section 6. Company Directory Section 7. Acronyms Sources and Methodology Notes Table 2-1, Application Downloads by Distribution Channel, World Market, Forecast: 2009 to 2015 Table 2-2, Available Application in App Stores, Paid versus Free, World Market, Forecast: 2009 to 2015 Table 5-1, ASR Embedded Smartphone Shipments by OS, World Market Forecast: 2009 to 2015 Table 5-2, ASR Embedded PND and In-Dash Automotive Shipments by Device Type, World Market Forecast: 2009 to 2015 Table 5-3, ASR Embedded CE Shipments by Device Type, World Market Forecast: 2009 to 2015 Table 5-4, ASR Embedded Licensing Revenues by Device Segment, World Market Forecast: 2009 to 2015 Table 5-5, Mobile ASR Service Subscribers by Region, World Market Forecast: 2009 to 2015 Table 5-6, Mobile ASR Service Subscribers by Region, World Market Forecast: 2009 to 2015 Chart 1-1, Mobile ASR Revenues, Embedded Licensing and Speech Services, World Market Forecast: 2009 to 2015 Chart 1-2, Mobile ASR Embedded Licensing Revenues by Device Segment, World Market Forecast: 2009 to 2015 Charts
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モバイル自動言語認識(ASR)は、過去数年間で、認識精度の向上とモバイルデバイスでアプリケーションを提供する複雑さ克服の両方において大きく躍進した。米国調査会社ABIリサーチは、このモバイルARSの近年の大幅な改良によって、ユーザの利用経験は大きく改善し、言語認識技術の利用を促進していると報告している。さらに、モバイル音声認識はますます改善されて、「役に立つ」技術と認識され、信頼性が高く、使いやすい対話の方法として、新たに登場した。この調査レポートは、モバイル音声認識アプリケーションとサービスを促進する技術を調査している。モバイル音声認識の現在と将来の市場機会や、内蔵ライセンスや新しいネットワークベースの音声認識サービスのビジネスチャンスを分析している。