## jasa2017_figure1.jpg

The image presents two side-by-side spectrograms labeled 'gars' [ga] on the left and 'gant' [gã] on the right. These spectrograms are used in phonetics and linguistics to analyze speech sounds, showing how sound frequencies change over time.

### Spectrogram Details:

#### Left: 'gars' [ga]
- The x-axis represents frequency (in MHz), ranging from 0 to 5.
- The y-axis represents amplitude (in dB) ranging from -60 to 60.
- There are several peaks indicating different sound frequencies:
  - **F0 (Fundamental Frequency)**: This is the lowest peak, located around 1.2 MHz on the left side of both spectrograms and labeled as 'P0'.
  - **Formants**: These are higher-frequency resonances that give speech sounds their characteristic quality.
    - **F1** appears at approximately 1.5 MHz in both spectrograms.
    - **F2** is around 3.0 MHz for 'gars' [ga].
    - **F3** is located near 4.0 MHz, but it's not as prominent and is labeled as 'A3-P6'.
- The amplitude of the peaks decreases as you move up the y-axis.

#### Right: 'gant' [gã]
- Similar to the left spectrogram, this one also shows frequency on the x-axis (from 0 to 5 MHz) and amplitude on the y-axis (from -60 to 60 dB).
- The formants are labeled similarly:
  - **F1** is around 1.5 MHz.
  - **F2** is at approximately 3.0 MHz, similar to 'gars' [ga].
  - **F3** appears near 4.0 MHz and is also labeled as 'A3-P6'.
- The amplitude of the peaks for 'gant' [gã] follows a similar pattern but with slight variations in height.

### Observations:
- Both spectrograms show that F1 (around 1.5 MHz) is prominent, indicating it plays a significant role in both sounds.
- F2 and F3 are also present but less pronounced compared to F1 for 'gars' [ga], while they appear more distinct for 'gant' [gã].
- The overall shape of the spectrograms suggests that these two words have similar phonetic structures, with slight differences in formant prominence.

### People:
There are no people depicted or mentioned in this image. It is purely a technical representation of speech sounds using spectrographic analysis.

This description was generated automatically from image files by a local LLM, and thus, may not be fully accurate. Please feel free to ask questions if you have further questions about the nature of the image or its meaning within the presentation.