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General Speereo Technology
 

General Speereo Technology

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    General Speereo Technology General Speereo Technology Presentation Transcript

    • Speereo Software, 2009 www.speereo.com Speereo Speech Recognition Technologies Konstantin Lamin Oleg Maleev Daniel Ischenko CEO CTO, VP of R&D VP of Business lamin@speereo.com maleev@speereo.com Development d_ischenko@speereo.co m
    • What speech technologies are needed for? User friendliness Speech is most natural way of communication for humans. Therefore speech interface is most natural way to interact with mobile device. Mobility While using speech interface User‟s hand and eyes are free for any other activity. Device novelty Speech interface gives User an easy-to-use device not burdened by numerous keys or large screens.
    • Automatic Speech Recognition System (ASR) ASR is a conversion of speech signal to text or control commands. ASR allows to manufacture devices with speech control abilities, i.e. speech interface. Voice Command ID ASR
    • Speech Synthesizer (TTS) Text to speech (TTS) is a signal conversion in with consideration of language pronunciation norms. It allows to create „speaking‟ devices. Text Speech TTS
    • Speech signal compression Allows to record speech signal with small memory size. Speech Packing Data Packing Unpacking Packing Data Speech
    • Speech technology on desktop PC ASR Pentium 4 2.0 GHz , 64 MB Memory bandwidth 1.2 GB/s TTS Pentium 4 2.0 GHz , 100-500 MB Standard solutions are not acceptable for embedded and mobile devices. Threfore special approaches for reduction of CPU and memory usage must be applied.
    • Requirements for embedded devices (low footprint) Compactness: used memory size less than 1-2 MB). Possibility to perform with CPU under 100 MIPS 300 MHz XScale - 12x or more output in performance with 2.0 GHz Pentium 4. Low memory bandwidth (XScale delivers only 64 MB/s).
    • Embedded Speech SDK Intuitively understandable and simple API accessible for use by non-specialists in speech technologies field. Scalable and portable software design. Possibility to use with various OS, or on devices with no OS. Only Software! No demand for use of any additional hardware.
    • Speech Recognition Technology Characteristics Speaker-Dependent or Speaker-Independent? Is training necessary? Training necessity annoys Users. Recognition on the phonetic (any size dictionary) or whole-word level (small dictionaries only)? Large (>10000 words) or small size vocabulary? Is dynamic change of recognizable commands set possible?
    • Optimal System of Speech Control Speaker-Independent. Flexible large vocabulary, allowing to change the set of recognizable words and phrases „on the fly‟. Noise robustness. Ability to use device in different conditions (car, outdoors, in a crowded surrounding). Stability to pronunciation variations, including nonnative speakers.
    • Speereo Speech Recognition Engine Acoustic Real-Time environment Phone Models Trancriber Speech Acoustic Very Large Decoder Front-End Vocabulary Recognition result
    • Acoustic Front-End Features system, 41 coefficient. Setting on acoustic environment. Special algorithm for automatic setting on the microphone type (far-field or close talk), conditions of recording and a channel distortion. Special algorithm for operation of the system in a car.
    • Acoustic model Decoder Continuous Density Hidden Markov‟s Models (more precise). Discrete Hidden Markov‟s Models (faster). For English language 63 HMM models that include 2446 mixture Gaussian components. Parameters of HMM models have been determined statistically with use of a priori phonetic restrictions. Enhanced algorithm of decoder functionality to speed up work mechanism.
    • Real-Time Transcriber Converts written English words and phrases to suitable for recognition form. Unlimited dictionary. Out-of-Vocabulary problem solved. Recognition of first and last names. Recognition of geographic names.
    • Accuracy Test 1: Long phrases recognition Test conditions: statistical sampling – 1680 utterances, 626 unique phrases. Language – English. Recognition accuracy – 99.9%. Test 2: Short words recognition Test conditions: numerical vocabulary database (including inarticulately pronounced words), 11 unique words. Language – English: recognition accuracy – 99.2%. Language – Russian: recognition accuracy – 98.5%.
    • Noise Robustness Test 3: accuracy dependence on noise level 0 5 10 15 20 Clear SNR (dB) Accuracy 98,2 98,4 98,3 98,6 98,7 99,2 (%) Speereo Speech Engine demonstrates high noise robustness.
    • Speereo Speech Engine in a Car Test 4: long phrases recognition in noisy surrounding Test conditions: statistical sampling – 1632 utterances, 626 unique phrases. Noise sample – moving vehicle with windows rolled down. Language – English. Recognition accuracy – 97,6%. Due to special algorithms, Speereo Recognition Engine demonstrates good robustness in a car.
    • Comparison of Recognition Systems Number of mistakes in tests 1 and 2 (less value is better) 80 70 60 50 Phrases 40 Digits 30 20 10 0 Philips Microsoft IBM Speereo While testing the following product have been used: Philips FreeSpeech 2000, Microsoft Speech Recognition Engine 4.0, IBM ViaVoice 7.0, Speereo Speech Engine 2.0
    • Speereo Speech Recognition Technology Features High accuracy speech recognition Speaker-Independence Large vocabulary (>100000 words) Short latency Noise robustness Excellent compatibility Ease of use
    • CPU and Memory requirements Speereo Speech Engine currently supports a wide variety of processors, such as SHx, TMPR39XX, NEC VR4122, MIPS, ARM, Xscale, etc. Speereo Speech Engine operates with CPU with performance from 40 MIPS (80 recommended) and memory from 700 KB.
    • Speereo Speech Recognition SDK Simple API not requiring skills in the speech technology development. Supports Windows Mobile, Symbian, Java, other platforms and embedded devices with no OS. For OS Windows Mobile and Symbian the operation support with ready made Audio Input-Output is provided. No need to program Audio Input-Output. Support of smartphones based on Series 60, UIQ, Windows Mobile and mobile devices with J2M.
    • Speereo Speech Engine Windows CE Version Audio Input-Output List of speech commands Application 1 Speech commands pronounced by user Speereo Application 2 Speech Engine Application N
    • Use of Speereo Speech Engine (SE) Operation of SE can be divided into 2 major stages: 1.Application defines the operating mode of SE and if it‟s necessary sends the list of speech commands to SE. 2.When User pronounces a phrase (command), SE determines most probable phrase from the list of received speech commands and sends its ID to the application. Developer does not need to trace the moment of pronouncing of a phrase. All one needs is to process the Speereo Speech Engine message that contains ID of the command pronounced by User.
    • Recognition modes There are 3 recognition modes of SE realized currently: 1. Recognition of phrases with words known to SE and included into the vocabulary. 2. Recognition of phrases with unknown to SE words (mostly personal names, etc.). In this case unknown words are transcribed automatically. 3. Recognition of numbers from the 1 to the 31. There is a special mode for improvement of ordinal numbers recognition accuracy.
    • Speereo Speech Engine Initialization In order to use the Speech Interface in any application developer must register given application in Speereo Speech Engine by accessing AddRegisterApplication function. Function prototype is as follows: UINT AddRegisterApplication (HWND hWnd), where hWnd is the handle of the developer‟s application window which receives the message from SE.
    • Speech Commands List Creation Speech Commands List is created by AddPhrase function for each speech command. void AddPhrase (LPCTSTR pszText, DWORD dwId) Where pszText is a speech command in orthographic form and dwId is the identifier of the speech command that will be returned by SE if the speech command is pronounced.
    • Response receipt from SE Message WM_SRT_ACCEPTHYPO passes identifier of recognized speech command as wPARAM parameter. Message goes from SE to the application window hWnd of which was used in the AddRegisterApplication function as its parameter. Example: case WM_SRT_ACCEPTHYPO: MakeHypo (wParam); return TRUE; MakeHypo is developer's command for implementation of speech commands functionality here.
    • Defining Speech Commands Example AddPhrase (_T(“Open Window”), ID_OPEN_WINDOW) AddPhrase (_T(“Close Window”), ID_CLOSE_WINDOW) That means that two speech commands (“Open Window” and “Close Window”) are passed to SE with identifiers ID_OPEN_WINDOW and ID_CLOSE_WINDOW accordingly.
    • It’s That Simple! In order to build speech interface into the application using Speereo Speech Engine one has to make following three simple steps: 1.Initialize Speereo Speech Engine. 2.Define list of speech commands. 3.Define application‟s reaction to speech commands.
    • Speereo Speech Engine Additional Features 1.Microphone and speaker controls. 2.Ability to interact with several applications simultaneously. 3.Ability to record sound and voice signal via microphone and real-time compression. 4.Ability to play sound and voice signals for User/speaker. 5.Speech signal detector selection (continuous monitoring of speech signal or recognition launch on a key press).
    • Speereo Speech Engine Implementation Possibilities Home appliances Consumer electronics (audio/video systems) Computer hardware and software (all operations) Portable devices (mobile phones, smartphones) Voice mail system Other embedded devices Using Speereo Speech Interface can greatly contribute to functionality, accessibility, and innovative appeal of any product by making it fully interactive, easy to control, and therefore more productive and enjoyable.
    • Example 1: operating a phonebook Feature can be accessed by Instead of selecting from menu… one short phrase: “Call Menu Samantha”. Send voice message via E-mail/MMS: Names Say “Send E-mail” or “Send MMS”. You will be prompted to give the name of recipient. Since names are Search Samantha articulated the system finds the name in the database and offers to send a Call voice message.
    • Example 2: Mobile Voice Interface Voice Interface for mobile services is highly requires by mobile community. Weather Maps Dictionaries Tickets booking Exchange rates Information E-Commerce Humor
    • Example 3: GPS Voice Control Speech menu Search P.O.I. Map navigation Route indication
    • Speereo Voice Translator Speaking in a foreign language? Nothing's more simple! Speereo Voice Translator is an Innovative mobile phrase book, that understands a spoken phrase in English (pronounced even with a strong accent) and immediately reads back the same phrase in Arabic, Chinese (Traditional or Simplified), Danish, English, Finnish, French, German, Italian, Korean, Polish, Russian, Spanish or Turkish.
    • Speereo Voice Organizer Manage your personal information, send e-mails and set your schedule using only voice commands with our Stylus Free Concept – Speereo Voice Organizer! Free your hands & don‟t stop to work your mobile device – application will find and dial numbers, write e-mails and remind you of your appointments following your voice commands!
    • Use our unique skills! Speech interface is a new level of the user‟s convenience. We got the necessary knowledge for the successful implementation of speech technology. quot;A voice-operated scheduler is a very good idea and Speereo has made it an impressive and enjoyable reality. Perhaps the best thing about Voice Organizer is that you can access all of its features with one hand. One touch of your Pocket PC's record button and your voice does all the work: switching between days, week and month views of your events; adding new events; or adding vocal notes to your phone contacts.“ Voice Recognition Programs for the Pocket PC By John Mierau, Pocket PC Magazine, November 2002, Vol. 5 No. 5
    • Speech Synthesizers Types (TTS) Whole words TTS Words DB Speech Text Phrases compiler Phonemic TTS Phones DB Text Prosody Speech Transcriber Phrases compiler Phones
    • TTS Requirements Whole-words TTS Predefined vocabulary (up to 2-3 thousands words) at the system development stage. CPU from 40 MIPS, RAM from 0.5 Mb requires pronunciation by a narrator of all the vocabulary‟s words. Phonemic TTS Large dictionaries possible (over 100 thousands words). CPU from 80 MIPS, RAM from 2 Mb, does not require setting for a dictionary.
    • TTS Language Support Whole-words ТТS Any language may be used. Narrator needed to create the word‟s database. Вevelopment time (1-2 weeks) depending on dictionary. Phonemic TTS Presently there is support of English, Spanish, German and Italian. New language development period – 3 months.
    • Speech Compression Algorithms Speech signal 16bit/8kHz 1 minute takes 960 КB in memory. АDPCM (Adaptive Differential Pulse Code Modulation) is recording only the difference between samples and adjusting the coding scale dynamically) 1 minute takes 240 КB in memory. Compression of any sound signal is possible.
    • Speech Compression Special Algorythms Use of speech signal features allows to achieve higher compression power: GSM compression 1 minute takes about 100 КB in memory. Optimal compression of speech signal only. Speereo advanced compression 1 minute takes about 10.25 KB in memory. It is possible to record more than 1.5 hours of speech signal into 1mb of space.
    • Speereo Advanced Compression Speereo compression/decompression algorithm in a real-time mode requires a processor with performance of 60 MIPS and memory of 200 КB. Only Speereo decompression algorithm in a real-time mode requires a processor with performance of 40 MIPS and memory of 200 КB.
    • Speereo Compression Algorithms Usage Preinstalled voice commands for mobile and embedded devices play (decompression only). Creation of voice User commands on PC with following transfer them to mobile and embedded devices (decompression on embedded devices, compression on desktop PC). Recording and play of Users‟ commands on mobile and embedded devices (compression and decompression on embedded devices).
    • Conclusion Speereo Speech Technology for embedded devices: Automatic Speech Recognition (ASR) from 40 MIPS(80 MIPS is recommended) from memory of 700 KB. Speech synthesizer (TTS) from 40(80) MIPS, from memory of 500KB (2Mb). Speech signal compression from 40 MIPS, from memory of 200 KB.
    • Speereo Speech Technology Technology that understands your language QUESTIONS? COMMENTS? Speereo Software UK www.speereo.com Konstantin Lamin Oleg Maleev Daniel Ischenko CEO CTO, VP of R&D VP of Business lamin@speereo.com maleev@speereo.com Development d_ischenko@speereo.co m