Data collection is an essential part of artificial intelligence. The data collection process is one of the most crucial steps in machine learning. Having access to quality and relevant information can level up machine learning systems especially speech recognition systems.

How does audio data collection for speech recognition systems work?

For speech recognition systems, first, you need raw data. This raw data comes in the form of audio recordings from native speakers from the target language of your choice. It could be conversations during script or chat logs, then, the preparation will commence. You must consider having multiple variations of the same topic while writing the script for recording.

Secondly, the script must highlight the main topic. Knowing the target population will help build a better script that caters to the said population. Next, native speakers from the target language will record the script to get as high-quality and accurate as possible. After doing so, transcribers will transcribe the recorded data. It is expected that conversations will have errors in pronunciation or have misspoken words but still, it should be transcribed. It will be helpful for variation.

Is data collection important for speech recognition systems?

Quick answer, yes.

Without high-quality data, speech recognitions will not have anything to work with. More importantly, even if you find a dataset, most likely it will not cater to all your use cases. Thus, it is essential to collect your own data.

What should I prepare for data collection in speech recognition systems?

In order to get the best bang out of your buck, you must first determine what kind of data you want to collect. 

Choose the Target Language

Choosing the correct target language is essential because you want to receive data that you can readily use on your systems. What languages do you want to focus on? You should also decide whether you want the audio to be spoken by a native or non-native speaker. 

Type of Audio and Speech Data to be Collected

There are a lot of scenarios that can be portrayed in these data. Do you want it to be scripted, scenario driven, or conversational? Identifying the best that works for you will help in the development of the speech recognition system.

Type of Data Collection Recording and Audio Requirements

There are multiple types of data collection recording such as natural and acoustic language utterance. Also, deciding whether you want a higher or lower level of frequency will help you identify if you want a higher quality or lower audio channel.

How can I collect data for speech recognition?

The easiest way to receive data for your speech recognition system is to hire a third party company to do it for you. CREATIVE CONNECTIONS & COMMONS INC. offers high-quality and affordable data collection services for over 30 languages worldwide. No matter what your target language is, we got it covered for you.

CCC is already ten years into the language industry. We offer custom language pairs for Asian and European languages covering almost every industry out there. In line with this, we also make sure you get it in time without sacrificing quality and accuracy.