Technology makes everything possible and makes our lives so easy. You do not need to worry about converting a video into text anymore. Speech to text technology has made it possible and automated it. Voice memo to text offers numerous benefits. It improves productivity and a wide range of users can obtain these services etc. Enhancement in accessibility makes it more lucrative. However, this conversion process poses some challenges too. Let us take a look into major challenges with speech to text technology and solutions.
Since speech recognition is done by a software, it may find difficulty in understanding various accents and dialects. In this case, the software needs to get trained to understand jargon better for the quality output. Some vocabulary which is industry specific can be better understood by this software with training.
The next common challenge is poor quality of the audio. If the audio has background noise or low quality recording, it will hamper the text quality for sure. To avoid this, using modern algorithms helps. Deep Learning models help in accurate conversion of voice memo to texteven in the background disturbances. Voice overlap issues can also be addressed better this way.
Missing contextual understanding in transcribing is another issue. The accurate output comes if the context of the spoken language is understood. Using industry specific transcription services resolve this issue. Specific languages will also be better understood with specific transcription services.
The website which offers speech to technology may not be available in your preferred language for providing transcription services. Also, as a user, you need to learn to speak clearly and dictate properly for the correct results.
When the transcription is finished, you cannot directly use the text for your purpose as the information may not be accurate. You need to go through it once. Review process helps in finding the mistakes and to make corrections. Machine results may not be 100 percent accurate. However, you can review it once to overcome these limitations. Hybrid approach such as combined machine and human effort can give better results.
You may also find it a burden to opt for a premium plan for advanced features and may settle with low quality services or suffer with some limitations like only lower size files are accepted with free services etc.
Further, this process is an automation but demands proof reading because a variety of users with a variety of accents use these services.
It is obvious from the above discussion, that this technology has advantages and limitations like any other technology. However, we can address some of these challenges with technology advancement.