Answer:
Many-to-one (multiple inputs, single output)
Explanation:
Solution
In the case of a recurrent neural network that listens to a audio speech sample, and classifies it according to whose voice it is, the RNN will listen to the audio and will give result by doing classification.
There will be a single output, for the classified or say identified person.
The RNN will take a stream of input as the input is a audio speech sample.
Therefore, there will be multiple inputs to the RNN and a single output, making the best fit Architecture to be of type Many-to-one(multiple inputs, single output).
