Patent Document ID: 9697201
Application ID: 14552200

Base Claim:
1. A speech-to-speech translation system comprising: one or more processors; and memory storing instructions that are executable by the one or more processors, the memory including: an automated speech recognition (ASR) engine to convert audio input in a source language into text output in the source language; a machine translation (MT) engine to receive the text output in the source language from the ASR engine and translate the text output in the source language into text output in a target language that is different than the source language; and a MT training module configured to: model ASR errors of the ASR engine based at least in part on the text output of the ASR engine to create an ASR simulation model; train a phoneme-to-word MT engine with the ASR simulation model to create a trained phoneme-to-word MT engine; convert, using the trained phoneme-to-word MT engine, phoneme sequences into output text, the output text matching the text output of the ASR engine given the phoneme sequences as input; store the output text in association with the phoneme sequences as training data; and train the MT engine using the training data.

---

Claim 2:
2. The system of claim 1 , wherein the MT training module uses a text-to-speech (TTS) analyzer to convert text from an ASR pronunciation dictionary into second phoneme sequences, and wherein the ASR simulation model is based at least in part on the second phoneme sequences.