1. Critical Segmentation:

If the speech in the audio is continuous, then it becomes a bit difficult to do the segmentation at the boundaries in the given time frame.

2. Poor Audio Quality:

The audio files, having poor audio quality is one of such challenges where the transcribers struggle a lot. They can’t do anything if they don’t find any solution to it.

3. Misaligned Speech in the Segments:

There are chances of leaving a word or words in the respective segments after breaking the segments if they are found to be erroneous.

4. Data Loss:

The transcribers may face the problem of losing the data if they do not follow the guidelines of settings of a particular tool. The project must be saved according to the guided settings.

5. File Renaming Issues:

It’s been commonly found in several cases that if the transcriber renames any file with a different name than that of the audio file, it creates the issues of audio mismatch. The audio is not imported as the names are different.

6. Identifying the Unique Speakers:

It becomes very difficult to identify the unique speakers if they speak in a repetitive fashion in a speech where there are many speakers. The same speaker may be named with a different name in the same file..!

7. Unintelligible Speech and Audible Overlapping:

There should be clarity in using the tags. If the speech contains the overlapping speeches of two or more different people, the problem arises. In many cases, the transcriber can go for tags, used for unidentifiable or unintelligible speech, but in some cases, the overlapping speech is audible. In such cases, the guidelines should be given clearly by the client as far as such scenarios are concerned.