Human corrected machine transcripts
Polished Transcripts
We polish machine transcripts for clients across a number of different technologies. Our machine transcription polishing (MTP) service is used for a variety of AI and machine learning purposes.
User applications include machine learning models that use speech-to-text for artificial intelligence research, FinTech/InsurTech, SaaS/Cloud Services, Call Centre Software and Voice Analytic services for the customer journey.
MTP Process
How Machine Transcription Polishing works
Our services can be customised to suit your specific requirements.
STEP 1
Upload your files
Upload or transfer your original audio recordings and matching machine transcripts to us via our website, API or an agreed SFTP process.
STEP 2
We polish machine transcripts
We receive your files and our trained transcription team proofreads each machine-produced transcript according to the requirements set out.
STEP 3
Receive your corrected transcripts
On completion, we transfer your polished transcripts back to you.
Why Use Way With Words
99%+ Accurate
We produce highly accurate transcripts.
On Time
We complete your transcripts on time.
Data Compliant
We are fully GDPR and DPA 2018 Compliant.
Priority Support
We answer all your questions as a priority.
99%+ Accurate
We produce highly accurate transcripts.
On Time
Data Compliant
Priority Support
How it looks
Machine Polishing Transcript Format
Before Polishing
[Segment 1, Left, 0.0 – 8.1s]:
SPEAKER: No remember I don’t know the internet system provider so I would park it’s a costing issue so it’s already here and.
[Segment 2, Left 10.1 – 12.4s]:
SPEAKER: It was.
[Segment 3, Left, 12.9 – 20.8s]:
SPEAKER: Have no I don’t think you will have a computer course the issue I would suspect the rest different issues with the internet system so I’m.
[Segment 4, Left, 21.9 – 25.1s]:
SPEAKER: So bare with me a second so you made this account from just got to and have you been I mean is it choosing.
After Polishing
[Segment 1, Left, 0.0 – 8.1s]:
SPEAKER: Not the router, no, it’s the internet service provider’s route path that’s causing an issue, so it’s all on their end.
[Segment 2, Left, 10.1 – 12.4s]:
SPEAKER:
[Segment 3, Left, 12.9 – 20.8s]:
SPEAKER: Well, no, I don’t think it’s your computer that’s causing the issue, I expect that it’s definitely issues with your service provider.
[Segment 4, Left, 21.9 – 25.1s]:
SPEAKER: So bear with me one second. So you made this call from Chicago? And have you be~ been, I mean are you using.
Frequently Asked Questions about our
Machine Transcription Polishing
Who uses your Machine Transcription Polishing service?
Our Machine Transcription Polishing service is ideal for large-volume orders on a B2B basis where automatic speech recognition needs proofreading under specific parameters in order for a client (usually a technology company) to test or improve their existing automated speech recognition systems. The service is not targeted at customers that want to improve auto-generated transcripts on a small scale. For this, we recommend using our Standard Transcription service in order to receive 99%+ accuracy guaranteed.
Who edits my machine-generated transcripts?
Once we understand the client’s exact needs and finalise terms of service, we source, assess and contract our MTP transcribers specifically for the client’s job. We ensure the team meets the agreed polishing requirements. Our reputation is based on a very selective process to contract a highly professional MTP transcription team. We match the client’s job requirements with MTP transcribers best suited to ensure client needs are met. For all work, we also provide a dedicated manager to oversee work on a daily basis.
How do you ensure accuracy?
Once the first transcribers are in place we start polishing the machine-generated transcripts. While doing so, we introduce a series of quality control steps in the workflow cycle to ensure all data processes for receiving, processing and returning client work are 100% in accordance with the agreed parameters. We also monitor all the processes to ensure strict adherence to prevailing and client-specific data protection requirements.
Do you sign Service Level Agreements?
For ongoing work, we prefer to work with an SLA. The SLA sets out a clear timetable that includes an initialisation period to set up the required team and logistics for client work. The SLA also covers terms and conditions related to the work and data privacy. If a client requires ongoing work, over an agreed period, Way With Words also usually provides a dedicated MTP team with management oversight, recruitment, selection, assessment, training processes and any other logistical assistance to aid the bespoke requirement.
Machine Transcription Polishing Use Cases
Our Machine Transcription Polishing service is used by clients offering or using speech-to-text technologies that produce automated machine transcripts. Machine transcripts require polishing for technologies operating in AI research, call centre management and FinTech analytics.
Call Centres
Way With Words provides Machine Transcription Polishing services to clients in the Call Centre and Voice Analytics sector.
MTP is used by Call Centre technologies to improve their speech recognition and voice analytic software for analyzing telephony audio. The benefits of MTP include more accurate and in-depth “voice of the customer” insights, a robust capability to track call centre performance metrics and better response time to manage operators in a live environment.
AI Research
Way With Words provides Machine Transcription Polishing services to clients in the AI Research and Analytics space.
MTP in these industries assists technologies to build more accurate research model applications for collating various data using next-generation AI-powered research platforms. Benefits include a more robust capability by AI to search, interrogate and contextualise key metrics related to complex human behaviours across multiple data resources and media.
Fintech Analytics
Way With Words provides Machine Transcription Polishing services to clients in the Fintech space.
MTP in these industries is used to improve speech recognition, NLU, NLP, social signal processing and predictive modelling capabilities for financial software. The key benefit of MTP is more accurate speech analytic tools to monitor and manage performance, especially customer calls to spot decision trends or eliminate pain points.