  This paper introduces the ZevoMOS entry to the main track of the VoiceMOS
Challenge 2022. The ZevoMOS submission is based on a two-step finetuning of
pretrained self-supervised learning (SSL) speech models. The first step uses a
task of classifying natural versus synthetic speech, while the second step's
task is to predict the MOS scores associated with each training sample. The
results of the finetuning process are then combined with the confidence scores
extracted from an automatic speech recognition model, as well as the raw
embeddings of the training samples obtained from a wav2vec SSL speech model.
  The team id assigned to the ZevoMOS system within the VoiceMOS Challenge is
T01. The submission was placed on the 14th place with respect to the
system-level SRCC, and on the 9th place with respect to the utterance-level
MSE. The paper also introduces additional evaluations of the intermediate
results.

Audio and Speech Processing