Hi Experts,

I'm not sure if I answer it correctly. Could you give me some advice on my answer?

A team of researchers describe their plans to collect a corpus in the following way: Our purpose is to collect a speech corpus of international English that can be used to train an ASR system for transcribing doctors spoken comments as they visit their patients. We plan on collecting speech from male and female physicians based in North America. Participants will be asked to read from freely available childrens literature as their speech is recorded using a webcam microphone. To save time and avoid participant dropout, they will not fill out a demographic questionnaire. Professional annotators will annotate the recordings with orthographic transcriptions and Part of Speech tags in a spreadsheet application. The annotations will later be used to train acoustic and language models for the ASR. Describe three issues with the way the research team plans to collect the data. [3 points]

1.The large variation in speech :

The data collection plan focuses only on physicians based in North America. This could impact the accuracy of the ASR system when transcribing speech from physicians from different regions. Thus, this can result in a speech corpus that does not represent the full range of possible speech patterns and accents, leading to a biased ASR system.

2.Limited generalizability of the speech corpus:

Participants will only be asked to read from freely available children's literature, potentially leading to a limited source of speech in the corpus. This could impact the and generalizability of the speech corpus, leading to suboptimal performance of the ASR system in transcribing speech from physicians in real-world scenarios.