Audio Data Collection
In today’s world interaction between humans and machines has become commonplace. With machines becoming smarter and efficient, human interactions with them have covered almost all methods of communication. While earlier interactions were mainly through textual inputs, nowadays we have numerous examples of touch, gesture and audio/ voice-based input products. These smart products driven by new-age technologies like artificial intelligence (AI) and machine learning (ML) have taken the human-machine interactions to an altogether new level. Audio enabled systems which work on Automatic Speech Recognition (ASR) are extensively used worldwide. Almost every internet user would be familiar with the voice-based Google search. Intelligent speech-based smartphone interfaces like the Siri program on the iPhone, Amazon’s virtual assistant platform Alexa are a few remarkable examples of products working on ASR. To have the desired performance, these audio-based systems undergo exhaustive training on audio training data. High quality, diverse audio training data is paramount for the successful operation of any ASR based systems.
How Can SunTec.AI Audio Data Collection Services help you?
Voice is unique to every individual. The pattern of each human voice differs in pronunciation, pace and intensity. These factors are very vital in the development of ASR systems and hence must be at the core of audio data collection services. SunTec.AI audio or speech data collection services include gathering, measuring and calibrating audio data from a wide range of sources. Our high-quality, diverse and large audio datasets help in training ASR systems to correctly recognise different types of human voices.
SunTec.AI Audio Data Collection Services Include:
Speech Data Collection
From high-quality studio recordings to in-field data collection across various languages, dialects, tones, pronunciation, SunTec offers a complete range of speech data collection services which ensure ASR systems are ready to deliver top-notch services to a wide variety of audience.
Acoustic Data Collection
SunTec.AI audio data collection services cover a wide acoustic range, from low decibel level to very high decibel levels. Our diverse range of audio data collection services includes audio data from the environment, public places like markets and stations, the sound of different animals, birds and objects.
Natural Language Utterance Collection
No two users or customers might use the same words to initiate a similar request or query. To train your ASR systems like chatbots to conduct smart, human-like conversations leverage our world-class natural language utterance collection services. Our speech datasets enable the ASR system to understand the variations in human speech.
What makes SunTec.AI Audio Collection Services stand out?
SunTec.AI end-to-end audio data collection services make sure that your voice-enabled technology is ready to cater to a diverse and multilingual audience. At SunTec.AI we know that no two data collection projects are similar. The projects come in all shapes and sizes. Some projects might have specific requirements that need a perfect blend of precision, planning and execution while others might need a large volume of audio samples with fast turnaround time. Irrespective of the nature and scale of the data collection services required, SunTec specialises in providing customisable data collection services to suit your needs.
At SunTec.AI you get:
- 20+ years of invaluable experience.
- Qualified team of experts and professionals.
- Both local and global coverage.
- Multilingual audio data collection and management platform.
- A large quantity of authentic and diverse audio datasets for machine learning.
- Sophisticated data collection tools.
- Availability of audio datasets in multiple formats like MP3, Wav, stereo etc.
- 24*7 support.
- ISO 9001:2015 certified for data quality.
Discuss Your Project With Us
To better understand our speech data collection services and discuss your project and requirements with us, reach out to us at firstname.lastname@example.org.
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