Computers / machines are just like deaf and dumb if they are not trained with audio / voice dataset. Machine learning algorithm for audio data are most important for the machines to execute the projects with perfection.
Audio data in any format is understandable by machines. Annotation of audios are necessary for Natural Language Processing (NLP) based speech recognition models. This improves the audibility and readability of chatbots and other virtual assistants. Mei Infotech offers audio annotation services that add metadata to the recorded sounds or speech to enhance the human-bot interaction.
Any sorts of sound captured as an audio file can be annotated with extra keynotes and appropriate meta data. Our annotation team is capable of exploring the audio features and incorporate insightful audio annotation to the mass data. Our annotators attentively and repeatedly listen to each sound words in the audio file for accurate speech recognition and add on the special features to the data.
The success of perfect understanding of audio / recorded sounds depends on the proper annotation of the sound. Mei Infotech uses the industry’s best audio annotation tool and labelling. To comprehend the audio/sound data, the best annotation technique based on ontology is followed in our services.
Services for Data Annotation for Computer Vision Training Sets
Data Annotation enables the machinesto learn and train datasets with the highest level of accuracy by confronting international standards of data quality
Consistent and constant sourcing of streaming data is one of the industrial demands for the machinesto learning and training of the real time environments. The scalability of the work force and economic challenges the growth and fulfil the project completion. We have well trained and experienced work force to execute and implement the demanding solutions of all situations
We gained strong trust and confidence of our clients on the privacy, security and confidentiality of data in work execution by adhering to the international data security, privacy and confidentiality norms.