Speech Data Collection | Best In 2021

Speech data collection is a significant step for machine learning, and here is the source for the best speech datasets you should know.

Important About Speech Data Collection Service That You Should Know

What do you mean by Speech Data Collection?

Let’s talk about what voice collecting is before we get into how to tailor your data gathering project. The process of gathering and measuring high-quality audio data from various sources is known as speech data collection.

The Automatic Speech Recognition (ASR) technology relies heavily on data collecting. The technology is in charge of interpreting and translating many languages in a matter of seconds. However, the system must first be exposed to a large amount of high-quality speech data for it to correctly read and translate the audio data.

You must make certain decisions about your project before you begin collecting and measuring voice data. While some customers know exactly how they want their speech data to be structured, others may have ambiguous needs, either because they are ignorant of all the factors or because they have flexible expectations in speech data collection.

How GTS helps in speech data collection service

Data of excellent quality: High-quality voice data on a data management platform that is simple to use

Any audio specifications: Enjoy complete acoustic and scenario setup versatility. We’ll set up anything from inside a car to a dinner party.

Any age group: We collect voice data in 35+ languages, both locally and internationally; on a small scale or with hundreds of participants in speech data collection.

Solutions for Customized Speech Data Collection

GTS provides end-to-end speech data gathering services to ensure that your voice-activated technology is suitable for a multilingual audience. From establishing a natural language corpus to coordinating in-field data collecting, transcription, and semantic analysis, we can handle any project.

Our clients may quickly and easily access their data and related metadata using GTS custom-built multilingual data management platform via an easy-to-use API.

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Speech Data Collection that Suits Your Needs

We all know that voice recognition data gathering initiatives come in many forms and sizes. Some initiatives involve a great deal of preparation, ingenuity, and invention due to particularly precise acoustic or participation criteria. Those are fantastic projects in speech data collection.

Other projects may have fewer requirements, but they may demand a quick turnaround time or a large number of speech samples. We adore such initiatives as well. We can custom-tailor a collecting solution to fit your needs, regardless of the extent and volume of your speech data-gathering project.

How to improve your Speech Data Collection?

Languages Chosen

The first step in customizing voice data is determining which languages must be gathered. You must know if the participants will be native speakers, non-native speakers, or a mix of both. Knowing this before the project begins would assist to speed up the entire process while also improving the quality of the data obtained.

Dialects & Accents from Other Countries

You must also decide if you want to record your speech data collection with a different or foreign accent. You may tailor your collection to capture different dialects from participants from different parts of the world. You can, for example, include people who speak in a range of dialects and accents to prevent exposing the voice recognition algorithm to systematic bias.

Nations to Be Targeted

You must also decide whether or not you wish to gather voice notes from a certain country. If not, you can use accents from a variety of nations where the chosen language is not an official language.

The accents of Spanish speakers from Mexico and Spain, for example, are significantly distinct. As a result, you must decide if you want to expose your algorithm to a variety of accents or keep it to a single location.

Demographics

You may also add demographic factors to your data collection. Begin by focusing on a certain male vs. female or children vs. adults’ distribution. For speech data collection and measurement, this would be your target population.

In general, these linguistic and demographic data may be GTS razed by a concise statement about your target population, such as gathering voice notes from native and non-native Spanish speakers throughout the world.

Structure of Scripts

You may also change the structure of your script to suit your collection requirements. You have the option of writing a single script for all participants or creating separate speeches for everyone. For example, you may have one group of female participants read one screenplay while the others read another.

Scripted vs. Natural Language

Participants would be directed to read aloud what they see on a screen using scripted speech data collection. Natural language would present the participant with a specific scenario, from which they might narrate their ideas.

Repetition and wording

You must also know how many total utterances your algorithm will require to interpret and store data. The bigger the amount of data required, the greater the number of participants and their utterances required.

For example, if each participant made 60 utterances, the total number of repetitions would be 1500. You can adjust the participant’s speech script depending on the type of speech data collection.

Size of the Collection

Depending on how much data you want to feed your ARS system, the size of the participants will vary. It would also influence the number of words per participant and the number of people needed.

Sound Quality

While capturing voice notes, keep an eye out for distracting background noises. It has the potential to affect the quality of data gathered and, as a result, interfere with the appropriate interpretation of that data by a speech recognition system.

Structure of the Audio

For the project’s audio recordings or files, you may have certain organization or post-processing needs. This may need the use of leading or following silences, as well as the removal of sounds such as taps or clicks. It’s also possible that you’ll need to mix a few files in speech data collection.

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