System and method for transcription of spoken words using multilingual mismatched crowd unfamiliar with a spoken language

Abstract

The disclosure generally relates to transcription of spoken words, and more particularly to a system and method for transcription of spoken words using multilingual mismatched words. The process comprises collection of multi-scripted noisy transcriptions of the spoken word obtained from workers of the multilingual mismatched crowd unfamiliar with the spoken language. The collected words are mapped to a phoneme sequence in the source language using script specific graphemes to phoneme model. Further, it builds a multi-scripted transcription script specific, worker specific and a global insertion-deletion-substitution (IDS) channel. Furthermore, the disclosure also determines reputation of workers to allocate the transcription task. Determination of reputation is based on word belief. The word belief is determined by taking ratio of likelihood probability of mapped phoneme sequence of transcriptions given the current estimate of word to the sum of likelihood probabilities of mapped phoneme sequences of the transcriptions given the phoneme sequence of each dictionary word.