Error message wording when n_fft is larger than length of the input #1214

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Describe the bug
The error/warning message when n_fft is larger than the length of the input seems to be the wrong way around. Currently, I get
n_fft=2048 is too small for input signal of length=512 . Shouldn't it be n_fft=2048 is too *large* for input signal of length=512 ?

To Reproduce

import librosa
y = librosa.tone(220, length=512)
librosa.stft(y, center=False)
Expected behavior

A clear and concise description of what you expected to happen.
Screenshots

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Software versions*

INSTALLED VERSIONS
python: 3.8.3 (default, Jul  2 2020, 16:21:59)

[GCC 7.3.0]
librosa: 0.8.0
audioread: 2.1.8

numpy: 1.19.1

scipy: 1.5.2

sklearn: 0.23.1

joblib: 0.16.0

decorator: 4.4.2

soundfile: 0.10.3

resampy: 0.2.2

numba: 0.50.1
numpydoc: None

sphinx: None

sphinx_rtd_theme: None

sphinxcontrib.versioning: None

sphinx-gallery: None

pytest: None

pytest-mpl: None

pytest-cov: None

matplotlib: 3.3.0

presets: None