Intro to Audio Signals JyhShing Roger Jang http
- Slides: 20
Intro. to Audio Signals Jyh-Shing Roger Jang (張智星) http: //mirlab. org/jang MIR Lab, CSIE Dept National Taiwan Univ. , Taiwan
What Are Audio Signals? z. Audio signals are… y. Signals that are audible to human, such as speech Quiz! and music y. The range of fundamental frequencies of audible Quiz! signals is about 20 ~ 20000 Hz. x. The range is wider for the young people, narrower for the elderly. Ultrasound 狗隻、海豚、蝙蝠 犬笛
Voice Generation & Reception z Steps in voice generation & reception y. Vibration of voice source y. Resonance by surrounding objects y. Traveling through air (or other media) y. Reception of membranes and neurons at inner ears y. Recognition by brains z Examples y. Singing y. Whistling y. Guitar y. Flute Pressure wave Sound waveform
Categorization of Audio Signals z Number of sources y. Monophonic: example y. Polyphonic: example z Waveform y. Quasi-periodic sound xvoiced sound of speech y. Aperiodic sound x. Unvoiced sound of speech z Source types y. Sounds from animals (bioacoustics) x. Dog barking, cat meowing, frog croaking, duck quacking, cow mooing… y. Sounds from nonanimals x. Car engines, thunders, music instruments
Quiz! Parameters for Recording z Three major parameters for recording audio files y. Sample rate: no. of samples per second x 8 k. Hz (phone quality) x 16 KHz (for common speech recognition) x 44. 1 KHz (CD quality) Quiz! Hz = Hertz = samples/sec (Also used for fundamental frequency…) y. Bit resolution: no. of bits for representing a sample x 8 -bit (uint 8 with range: 0~255) x 16 -bit (int 16 with range: -32768~32767) y. Number of channels x. Mono: 1 channel x. Stereo: 2 channels
Live Recording z Three major parameters for recording audio files y. Sample rate, bit resolution, and no. of channels y. Demo of recording via Cooledit x. Compare of the waveforms of a tuning fork and human speech of vowels. What is the major difference? Why? Quiz!
Tools for General Audio Processing z. Tools for real-time recording and waveform display y. Audacity y. Cool. Edit y. Gold. Wave y. MATLAB
S/U/V in Speech z. Speech signals can be divided into S, U, V Quiz! y. S (silence): no speech activity y. U (unvoiced): speech activity without vibration from vocal chords y. V (voiced): speech activity with vibration z. How to detect S, U, V? y. Put your hand on your throat to feel the vibration y. Observe the waveform directly
Speech Signal of “Sunday” z. Unvoiced vs. voiced frames
Silence, Unvoiced and Voiced Sounds z. Examples of S, U, V Quiz! y“Six” s u v s u s y“資訊系” s u v u v s
Storage for Audio Files z. Examples of storage requirement y 1 min. of recording with fs=16000, nbits=16, #channel=1 60 (sec)*16 (KHz)*2 (bytes)*1 (channel) = 1920 KB = 1. 92 MB y 3 -mins of CD music with fs=44. 1 KHz, nbits=16, #channel=2 180 (sec)*44. 1 (KHz)*2 (bytes)*2 (channels) = 31752 KB = 32 MB Quiz! MP 3 compression ratio is about 10!
Human Speech Production
Source-filter Model for Human Speech Production Speech is split into a rapidly varying excitation signal and a slowly varying filter. The envelope of the power spectra contains the vocal tract info. unvoiced Pharyngeal cavity Nasal cavity Oral cavity voiced Two important characteristics of the model are fundamental frequency (f 0) and formants (F 1, F 2, F 3, …)
The Vocal Tract
Glottal Volume Velocity & Resulting Sound Pressure (Voiced)
Speech Production Glottal Pulses Vocal Tract + + (a) Source Spectrum Speech Signal = = (b) Filter Function (c) Output Energy Spectrum
Videos for Vocal Cords Movement z. Movement of vocal cords yhttp: //www. youtube. com/watch? v=m. Jedwz_r 2 Pc yhttp: //www. youtube. com/watch? v=v 9 Wdf-Rw. Lcs
Other Interesting Phenomena z. Interesting phenomena about audio signals y. Don’t trust what you have heard! (Vision rules) y. Perceived speech is highly context dependent:
Hints for Exercises z. How to generate a sine wave signal: y. Math formula: y. MATLAB code: duration=3; f=440; fs=16000; time=(0: duration*fs-1)/fs; y=sin(2*pi*f*time); plot(time, y); sound(y, fs);
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