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Real-Time Speech Detection and Word Boundary Recognition in Noisy Environments

This project focuses on developing a speech detection system capable of recognizing word boundaries in real-time, particularly in noisy environments. Utilizing the end-point algorithm by Rabiner and Sambur, it aims to reduce processing load and network bandwidth by identifying silence effectively. The implementation is based on Linux, with sound quality configured for 8,000 samples per second and 8 bits per sample. The project involves recording audio, detecting speech, and writing recognized words to files, providing a basis for future applications such as voice commands and teleconferencing.

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Real-Time Speech Detection and Word Boundary Recognition in Noisy Environments

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  1. Detecting Speech Project 1

  2. Outline • Motivation • Problem Statement • Details • Hints

  3. Motivation • Word recognition needs to detect word boundaries in speech “Silence Is Golden”

  4. Motivation • Recognizing silence can reduce: • Network bandwidth • Processing load • Easy in sound proof room, with digitized tape • Measure energy level in digitized voice

  5. Research Problem • Noisy computer room has loud background noise, making some edges difficult “Five”

  6. Research Problem • Computer audio often for interactive applications • Voice commands • Teleconferencing • Needs to be done in ‘real-time’

  7. Project Solution • Implement end-point algorithm by Rabiner and Sambur • (Paper for class, next) • Implementation in Linux • Basis for audioconference/Internet phone • (Projects 2 and 3)

  8. Details • Voice-quality: • 8000 samples/second • 8 bits per sample • One channel • Record sound, write files: • sound.all - audio plus silence • sound.speech - audio no silence • sound.data - text-based data: audio data, energy, zero crossings: 128 10 3 127 12 4 127 20 3 • Other features allowed

  9. Sound in Linux • Linux audio device just like a file: • /dev/dsp • open("/dev/dsp", O_RDWR) • Recording and Playing by: • read() to record • write() to play

  10. Sound Parameters • Use ioctl() to change sound card parameters • To change sample size to 8 bits: fd = open("/dev/dsp", O_RDWR); arg = 8; ioctl(fd, SOUND_PCM_WRITE_BITS, &arg); • Remember to error check all system calls!

  11. Sound Parameters • The parameters you will be interested in are: • SOUND_PCM_WRITE_BITS • the number of bits per sample • SOUND_PCM_WRITE_CHANNELS • mono or stereo • SOUND_PCM_WRITE_RATE • sample/playback rate

  12. Program Template open sound device set sound device parameters record silence set algorithm parameters while(1) record sound compute algorithm stuff detect speech write data to file write sound to file if speech, write speech to file

  13. Hand In • Staggered due dates, about 2 weeks • Send group info • Turn in: • Code • Makefile • Answers to questions • Via email

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