Specific Frequency Resolution I have an audio signal

SampleRate Fs: 44100 Hz

TotalSamples: 94144 samples

Duration t: 2.1348 s


The frequency resolution is given by  Fs/N where FS is the input signal's sampling rate and N is the number of FFT points used.

If I want to have 10Hz frequency resolution (bins of 10Hz), I should use 4410 FFT-points (44100/4410 = 10) but fft(signal,N) function of matlab specifies that N (4410 in my case) should greater than the signal length (94144 in my case). How should I proceed?
There are some important clarifications out of this question that are good to point out:

The frequency resolution of a block of data is 1/T where T is the length of the data in time (in seconds). Since the sampling rate and block length are related as 

$T = N/f_s$

Where $f_s$ is the sampling rate, it follows that the frequency resolution for a block of N samples will be $1/T = f_s/N$.

Zero padding does not change the frequency resolution, it only interpolates more samples of the Discrete Time Fourier Transform. See these posts:

What happens when N increases in N-point DFT

What proportion of a padded FFT should be actual values

When you do fft(signal,N) in Matlab, N must be larger or equal to the signal length and when larger it will simply append zeros, so identical to zero padding.

So to achieve a 10 Hz resolution bandwidth, you either need to reduce the number of samples, as in fft(sig(1:m)), or reduce the sampling rate, but regardless of sample rate, the length of the block in your fft must be 1/10 = 0.1 seconds long. 

Note that windowing if performed will expand the frequency resolution; the finest resolution is achieved with no windowing and is $f_s/N$

Refer to this paper by fred harris which details the resolution bandwidth for various windows: fred harris on the use of windowing