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Formant vocoder and speech characteristics

Short answer

Formant vocoder tracks the first three or four formant frequencies plus pitch, voiced/unvoiced flag and gain; the receiver excites resonators tuned to those formants with pulses or noise. It runs below 1.2 kbps but formant tracking is unreliable. Speech has 300–3400 Hz bandwidth, non-uniform pdf, high correlation, formants, voiced/unvoiced sounds.

Explain the operation of formant vocoder. What are the characteristics of speech signal?

Formant vocoder

The formant vocoder is based on the fact that the short-time spectrum of speech is mainly described by its formants, the resonant frequencies of the vocal tract. Normally the first three or four formants (F1 ≈ 300–800 Hz, F2 ≈ 800–2500 Hz, F3 ≈ 2–3 kHz) carry most of the information.

 Tx: speech-+->[formant tracker]-> F1,F2,F3 (+ amplitudes)
            +->[pitch & V/UV detector] -> pitch, flag
            +->[energy] -> gain        -> MUX -> channel

 Rx: [pulse gen | noise gen] (by V/UV, pitch)
            |
            v (×gain)
     [resonator F1]->[resonator F2]->[resonator F3]
            |
            v speech

Operation

  1. Speech is divided into frames of 10–30 ms.
  2. A formant tracker finds the frequencies (and sometimes bandwidths/amplitudes) of the first 3–4 formants in each frame, e.g. by peak-picking the spectrum or from LPC poles.
  3. A pitch detector decides voiced/unvoiced and measures pitch.
  4. Formants, pitch, V/UV flag and gain are coded and transmitted.
  5. The receiver selects a pulse train (voiced) or noise (unvoiced), scales it and passes it through resonators tuned to the received formant frequencies, which rebuild the spectral envelope.

Merits: very few parameters, so very low bit rate (below about 1.2 kbps). Demerits: formants are hard to track reliably (they merge or are weak, especially in noise), so quality is poor; hence formant vocoders are rarely used commercially.

Characteristics of speech signal

  • Main energy in 300–3400 Hz.
  • Non-uniform amplitude pdf (small values most likely).
  • High correlation between successive samples.
  • Non-flat spectrum with formant peaks.
  • Voiced sounds periodic (pitch 80–350 Hz), unvoiced sounds noise-like.
  • Quasi-stationary over 10–30 ms.
  • Silence for about 40–60% of the time in a conversation.

✓ Answer checked by Claude Opus 5.5 (high effort)

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