Improving Isochronous Machine Translation with Target Factors and Auxiliary Counters

• URL: http://arxiv.org/abs/2305.13204v1
• Date: Mon, 22 May 2023 16:36:04 GMT
• Title: Improving Isochronous Machine Translation with Target Factors and Auxiliary Counters
• Authors: Proyag Pal, Brian Thompson, Yogesh Virkar, Prashant Mathur, Alexandra Chronopoulou, Marcello Federico
• Abstract summary: We introduce target factors in a transformer model to predict durations jointly with target language phoneme sequences. We show that our model improves translation quality and isochrony compared to previous work.
• Score: 71.02335065794384
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: To translate speech for automatic dubbing, machine translation needs to be isochronous, i.e. translated speech needs to be aligned with the source in terms of speech durations. We introduce target factors in a transformer model to predict durations jointly with target language phoneme sequences. We also introduce auxiliary counters to help the decoder to keep track of the timing information while generating target phonemes. We show that our model improves translation quality and isochrony compared to previous work where the translation model is instead trained to predict interleaved sequences of phonemes and durations.

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