Explore of our key APIs or sign up to access the complete set
Explore key Voicegain APIs for Speech-to-Text, Telephony Bot, and Speech Analytics.
View documentation →
Create a free account and get access to the full Voicegain API documentation and get to try them out.
Create free account →
.png)
Enterprises are increasingly looking to mine the treasure trove of insights from voice conversations using AI. These conversations take place daily on video meeting platforms like Zoom, Google Meet and Microsoft Teams and over telephony in the contact center (which take place on CCaaS or on-premise contact center telephony platforms).
Voice AI refers to converting the audio from these conversations into text using Speech recognition/ASR technology and mining the transcribed text for analytics and insights using NLU. Enterprises are looking to extract key topics and action items from meetings, identify sales blockers and opportunities for coaching sales people and identifying customer sentiment from call center interactions.
Over the last few years, the conversational AI space has seen dozens of players launch successful products and scale their businesses. However most of the popular Voice AI options available in the market are multi-tenant SaaS offerings. The Conversational AI vendors have built web applications and deployed them at a large public cloud provider like Amazon, Google or Microsoft. At first glance, this makes sense. Most enterprise software companies that automate business workflows in functional areas like Sales and Marketing(CRM), HR, Finance/Accounting or Customer service have been architected as multi-tenant SaaS offerings. The move to Cloud has been a secular trend for business applications and hence Voice AI has followed this path.
However at Voicegain, we firmly believe that an Edge architecture using a single-tenant model is the way to go for Voice AI Apps.
By Edge, we mean that the Speech Recognition/Speech-to-Text and NLU processing takes place on the customer's single tenant infrastructure – whether it is bare-metal in a datacenter or on a dedicated VPC with a cloud provider.
We believe that the advantages for Edge/On-Prem architecture for Conversational/Voice AI is being driven by two big factors
Very often, conversations in meetings and call centers are sensitive from a business perspective. Most businesses and enterprises are not comfortable storing the recordings of these meetings on a public cloud. Think about a difficult/sensitive conversation between a manager and his/her direct report or even a sensitive financial discussion prior to the releasing of earnings for a public company. Also many countries have strict data residency requirements from a legal/compliance standpoint. This makes the Edge (On-Premises/VPC) architecture very compelling.
Unlike pure workflow-based SaaS applications, Voice AI apps include deep-learning based AI Models –Speech-to-Text and NLU. To extract the right analytics, it is critical that these AI models – especially the acoustic models in the speech-recognition/speech-to-text engine are trained on client specific audio data. This is because each customer use case has unique audio characteristics which limit the accuracy of an out-of-the-box multi-tenant model. These unique audio characteristics relate to
1. Industry jargon – acronyms, technical terms
2. Unique accents
3. Names of brands, products, and people
4. Acoustic environment and any other type of audio.
However, most AI SaaS vendors today use a single model to serve all their customers. And this results in sub-optimal speech recognition/transcription which in turn results in sub-optimal NLU.
Voicegain offers an Edge deployment for both its core platform (STT and NLU APIs) and the Voicegain Transcribe app. Both the core platform and Voicegain Transcribe can operate completely on our clients infrastructure completely disconnected from the internet. Both can be placed "behind an enterprise firewall".
Most importantly Voicegain offers a training toolkit and pipeline for customers to build and train custom acoustic models that power these Voice AI apps. This makes the accuracy of these apps much higher than what enterprises get by licensing multi-tenant SaaS apps.
If you have any question or you would like to discuss this in more detail, please contact our support team over email (support@voicegain.ai)
.jpg)
As we announced here, Voicegain Transcribe is an AI based Meeting Assistant that you can take with you to all your work meetings. So irrespective of the meeting platform - Zoom, Microsoft Teams, Webex or Google Meet - Voicegain Transcribe has a way to support you.
We now have some exciting news for those users that regularly host Zoom meetings. Voicegain Transcribe users who are on Windows now have a free, easy and convenient way to access all their meeting transcripts and notes from their Zoom meetings. Transcribe Users can now download a new client app that we have developed - Voicegain Zoom Meeting Assistant for Local Recordings - onto their device.
With this client app, any Local Recording of a Zoom meeting (explained below) will be automatically submitted to Voicegain Transcribe. Voicegain's highly accurate AI models subsequently process the recording to generate both the transcript (Speech-to-Text) but also the minutes of the meeting and the topics discussed (NLU).
As always, you get started with a free plan that does not expire. So you can get started today without having to setup your payment information.
Zoom provides two options to record meetings on its platform - 1) Local Recording and 2) Cloud Recording.
Zoom Local recording is a recording of the meeting that is saved on the hard disk of the user's device. There are two distinct benefits of using Zoom Local Recording
Zoom Cloud Recording is when the recording of the meeting is stored on your Zoom Cloud account on Zoom's servers. Currently Voicegain does not directly integrate with Zoom Cloud Recording (however it is on our roadmap). In the interim, a user may download the Cloud Recording and upload it to Voicegain Transcribe in order to transcribe and analyze recordings saved in the cloud.
.png)
Zoom allows you to record individual speaker audio tracks separately as independent audio files. The screenshot above shows how to enable this feature on Zoom.
Voicegain Zoom Meeting Assistant for Local Recording supports uploading these independent audio files to Voicegain Transcribe so that you can get accurate speaker transcripts
The entire Voicegain platform including the Voicegain Transcribe App and the AI models can be deployed On-Premise (or in VPC) giving an enterprise a fully secure meeting transcription and analytics offering.
If you have any question, please sign up today, and contact our support team using the App.
“We selected Voicegain because they are accurate, affordable and easy to use. We deployed the entire platform in our datacenter in under 30 minutes.”
“We’re committed to improving learning for millions of students, so we selected Voicegain for its highly accurate and affordable transcription. We have been really happy with the product and its accuracy which has continually improved as they train their models.”
“Voicegain is amazing! They have a great ASR and a modern architecture. But what we really value is their prompt and timely support. We use both their MRCP ASR and STT APIs and they work great “
Interested in customizing the ASR or deploying Voicegain on your infrastructure?
Voicegain helps developers build awesome voice enabled apps by providing them with the most accurate, affordable and accessible Speech-to-Text platform.
