May 17, 2017 By Vidyasagar Machupalli 3 min read

Who’s speaking? : Speaker Diarization with Watson Speech-to-Text API

Distinguishing between two speakers in a conversation is pretty difficult especially when you are hearing them virtually or for the first-time. Same can be the case when multiple voices interact with AI/Cognitive systems, virtual assistants, and home assistants like Alexa or Google Home. To overcome this, Watson’s Speech To Text API has been enhanced to support real-time speaker diarization.

Post building a popular chatbot using Watson services, there are a couple of requests to include SpeakerLabels setting into our code sample.

So, What is Speaker Diarization?

Speaker diarisation (or diarization) is the process of partitioning an input audio stream into homogeneous segments according to the speaker identity. It can enhance the readability of an automatic speech transcription by structuring the audio stream into speaker turns and, when used together with speaker recognition systems, by providing the speaker’s true identity.

Why Speaker Diarization?

Real-time speaker diarization is a need we’ve heard about from many businesses across the world that rely on transcribing volumes of voice conversations collected every day. Imagine you operate a call center and regularly take action as customer and agent conversations happen — issues can come up like providing product-related help, alerting a supervisor about negative feedback, or flagging calls based on customer promotional activities. Prior to today, calls were typically transcribed and analyzed after they ended. Now, Watson’s speaker diarization capability enables access to that data immediately.

To experience speaker diarization via Watson speech-to-text API on IBM Bluemix, head to this demo and click to play sample audio 1 or 2. If you check the input JSON specifically Line 20 below; we are setting “speaker_labels” optional parameter to true. This helps us in distinguishing between speakers in a conversation.

{<br>
 "continuous": true,<br>
 "timestamps": true,<br>
 "content-type": "audio/wav",<br>
 "interim_results": true,<br>
 "keywords": [<br>
  "IBM",<br>
  "admired",<br>
  "AI",<br>
  "transformations",<br>
  "cognitive",<br>
  "Artificial Intelligence",<br>
  "data",<br>
  "predict",<br>
  "learn"<br>
 ],<br>
 "keywords_threshold": 0.01,<br>
 "word_alternatives_threshold": 0.01,<br>
 "smart_formatting": true,<br>
 "speaker_labels": true,<br>
 "action": "start"<br>
}

A part of output JSON after real-time speech-to-text conversion:

{<br>
 ....<br>
     "confidence": 0.927,<br>
     "transcript": "So thank you very much for coming Dave it's good to have you here. "<br>
    }<br>
   ],<br>
   "final": true,<br>
   "speaker": 0<br>
  }

You can see that a speaker label is getting assigned to each speaker in the conversation.

Steps to enable speaker diarization

  • Watson speech-to-text is available as a service on IBM Bluemix, a cloud platform from IBM. Create a new service to leverage your application.

  • If you are taking the Rest API approach, don’t forget to include the optional parameter “speaker_labels: true” in your request JSON.

  • Based on the programming language your application is created, use any of the easy-to-use SDKs available on Watson Developer Cloud ranging from Python, Node, Java, Swift etc.,

Refer chatbot-watson-android code sample to get a gist of how to enable or add speaker diarization to an existing android app. Similarly, you can use other SDKs to achieve speaker diarization.

Note: Speaker labels are not enabled by default. Check ToDos in the code to uncomment.

Use cases

From integrating into chatbots to interacting with home assistants like Alexa, Google Home etc.; from call centers to medical services, the possibilities are endless.

For Bluemix Code samples and Tutorials, please visit our Bluemix github page.

Was this article helpful?
YesNo

More from

IBM Cloud Reference Architectures unleashed

2 min read - The ability to onboard workloads to cloud quickly and seamlessly is paramount to accelerate enterprises digital transformation journey. At IBM Cloud, we're thrilled to introduce the IBM Cloud® Reference Architectures designed to empower clients, technical architects, strategists and partners to revolutionize the way businesses harness the power of the cloud. VPC resiliency: Strengthening your foundation Explore the resilience of IBM Cloud Virtual Private Cloud through our comprehensive resources. Dive into our VPC Resiliency white paper, a blueprint for building robust…

Empower developers to focus on innovation with IBM watsonx

3 min read - In the realm of software development, efficiency and innovation are of paramount importance. As businesses strive to deliver cutting-edge solutions at an unprecedented pace, generative AI is poised to transform every stage of the software development lifecycle (SDLC). A McKinsey study shows that software developers can complete coding tasks up to twice as fast with generative AI. From use case creation to test script generation, generative AI offers a streamlined approach that accelerates development, while maintaining quality. This ground-breaking technology…

Data protection strategy: Key components and best practices

8 min read - Virtually every organization recognizes the power of data to enhance customer and employee experiences and drive better business decisions. Yet, as data becomes more valuable, it's also becoming harder to protect. Companies continue to create more attack surfaces with hybrid models, scattering critical data across cloud, third-party and on-premises locations, while threat actors constantly devise new and creative ways to exploit vulnerabilities. In response, many organizations are focusing more on data protection, only to find a lack of formal guidelines and…

IBM Newsletters

Get our newsletters and topic updates that deliver the latest thought leadership and insights on emerging trends.
Subscribe now More newsletters