Salvation that is prejudiced by the cross-resistance of the correction of the voice of the voice error

The end of the end (E2E) Documentation of speech recognition (ASR) is trained using paired samples with the most expensive text. Applications for voice searches, such as digital media players, profit bless ASR to allow users to search by voice as opposed to the screen keyboard. However, recent or unusual movies may not be represented in the information training information for E2e Asr, and as a result, there may be misconduct.

In this paper, we propose a phonetic maintenance program based on Asr Model's Output systems that can be recognized for the E2-line model, and (b) the final component associated with other last forms, and select the release of the final application.

We find out that our method of accepting is upgrading the word error between 4.4 and 7.6% related to the best movies of the competitive movies.

• ** Work done while in Apple
• 40 Meta