1 / 11

Speech Recognition Application

Speech Recognition Application. Voice Enabled Phone Directory - Yousef Rabah. Process of Speech Recognition. Speaker dependent vs. Speaker Independent Vocabulary  Isolated vs. Continuous Frequency changes Pronunciation Speech Processing

lemuel
Download Presentation

Speech Recognition Application

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Speech Recognition Application Voice Enabled Phone Directory - Yousef Rabah

  2. Process of Speech Recognition • Speaker dependent vs. Speaker Independent • Vocabulary  Isolated vs. Continuous • Frequency changes • Pronunciation • Speech Processing • HMM – Probabilities, Parameters, Training • Phonemes to words

  3. Problem • Automatic speech interacting phone directory assistance without human interaction.

  4. Automatic Speech Recognition - Sphinx • Acoustic modeling • Language Model • Unigrams: <s> & </s> • Bigrams: P(word2 | word1) • Trigrams: P(word3| word2 | word1) • Lexicon Structure • ZERO Z IH R OW • ONE W AH N • TWO T UW • <sil>

  5. 24003 samples in file /usr/local/share/sphinx3/model/lm/an4/hell.raw INFO: live.c(239): live_nfeatvec: 13 INFO: main_live_pretend.c(92): PARTIAL HYP: <sil> INFO: live.c(239): live_nfeatvec: 12 INFO: main_live_pretend.c(92): PARTIAL HYP: <sil> A(2) INFO: live.c(239): live_nfeatvec: 13 INFO: main_live_pretend.c(92): PARTIAL HYP: <sil> EIGHTH INFO: live.c(239): live_nfeatvec: 12 INFO: main_live_pretend.c(92): PARTIAL HYP: <sil> H INFO: live.c(239): live_nfeatvec: 13 INFO: main_live_pretend.c(92): PARTIAL HYP: <sil> H E INFO: live.c(239): live_nfeatvec: 12 INFO: main_live_pretend.c(92): PARTIAL HYP: <sil> H E INFO: live.c(239): live_nfeatvec: 13 INFO: main_live_pretend.c(92): PARTIAL HYP: <sil> H E L INFO: live.c(239): live_nfeatvec: 12 INFO: main_live_pretend.c(92): PARTIAL HYP: <sil> H E L INFO: live.c(239): live_nfeatvec: 13 INFO: main_live_pretend.c(92): PARTIAL HYP: <sil> H E L OH Backtrace(null) LatID SFrm EFrm AScr LScr Type 254 0 45 -391470 -74100 -1<sil> 594 46 81 -472155 -148846 0 H 1291 82 102 -288621 -148846 0 E 1850 103 126 -235274 -148846 0 L 2599 127 147 -430694 -148846 0 L 2650 148 148 0 -148846 0 </s> 0 148 -1818214 -818330 (Total) FWDVIT: H E L L (null) Input / Output

  6. Difficulties • Hardware issues • ASR software issues • Letter phonemes - “e-set” • Time

  7. Solution • Database (PostgreSQL) • Names • Numbers • Phone number • Fast access

  8. Architecture of application User Interaction Connects to Database Communicates with Sphinx Uses of C, Perl, shell scripts Example (general idea): … PC: Say the letters of first name, press space bar before and after you speak: User: S AA EM PC: Did you say, SAM ? … Solution

  9. Solution

  10. Check List • Reading • ASR system • Database - PSQL • Applications in C, Perl, PHP, vxml, shell

  11. Timeline

More Related