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. Input / Output FWDVIT: H E L L (null)
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: main_live_pretend.c(92): PARTIAL HYP: <sil> EIGHTH
INFO: main_live_pretend.c(92): PARTIAL HYP: <sil> H
INFO: main_live_pretend.c(92): PARTIAL HYP: <sil> H E
INFO: main_live_pretend.c(92): PARTIAL HYP: <sil> H E L
INFO: main_live_pretend.c(92): PARTIAL HYP: <sil> H E L OH
Backtrace(null)
LatID SFrm EFrm AScr LScr Type
<sil> H E L L
</s>
(Total)
FWDVIT: H E L L (null)

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

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

8. Solution Architecture of application 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 ?
Architecture of application
User Interaction
Connects to Database
Communicates with Sphinx
Uses of C, Perl, shell scripts

9. Solution

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

11. Timeline