TICTAG'S CASE STUDY
Audio Transcription Annotation
Applicable Industries and teams: Conversational AI , Audio AI, Digital AI Assistance, Speech Recognition, Law Firms
Problem at hand
Audio AI and Conversational AI teams often bank on automated solutions to provide them with transcriptions of their collected audio data. This might be a fast way to obtain the required data but does it do your Audio AI model any justice?
Teams working on Audio AI have identified the given shortcomings of an automated solution:
Limited Vocabulary & Accent Bias:
These solutions are often NOT tailored to the niche requirement of your project.
Little immunity to background noise and low audio quality data:
The solutions transcribe only what they can identify
Unrecognition of overlapping dialogue:
Machines aren't able to accurately recognize the difference between multiple voices. They simply consider it as one source and transcribe it accordingly.
Tictag leverages its crowdsourcing abilities and application of human intelligence to transcribe and cleanse a transcription of audio data:
Record speed of transcribing and cleansing of the audio
Crowdsourcing transcription abilities from various demographics in order to overcome the Limited vocabulary and accent bias.
(Tictag's access to the uncommon SEA crowd allows clients to obtain data with much higher accuracy for projects that require such crowds)
Use of human intelligence to recognize and transcribe valuable data in low-quality audio files or ones with background noise.
Use of human intelligence to recognize multiple inputs (Example. When 2 people are speaking in one file, Tictag's solution allows the crowd to transcribe dialogues for the 2 people separately.)
Quality Control to sieve out contradictory and inaccurate data.
Tictag leverages its crowdsourcing abilities and on-the-go mobile platform to get you highly accurate transcribed data to for your Audio AI Models.
Don't compromise on what your AI can do. Blow your audiences away with an Audio AI that can be truly intelligent, using Tictag's best-in-class data preparation solution.
Working on an Audio AI Model?
Speak with our experts and narrow down your use case/ project requirements. Obtain the accurate data that your model needs