Google Cloud Speech: Distinguish Voices?

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I am interested in writing a voice recognition application that is aware of multiple speakers. For example if Bill, Joe, and Jane are talking then the application could not only recognize sounds as text but also classify the results by speaker (say 0, 1 and 2... because obviously/hopefully Google has no means of linking voices to people).

I am hunting for speech recognition APIs that might do this, and Google Cloud Speech comes up as a top ranked API. I have looked through the API docs to see if such functionality is available, and have not found it.

My question is: does/will this functionality exist?

Note: Google's support page says their engineers sometimes answer these questions on SO, so it seems plausible someone might have an answer to the "will" part of the question.


I know of no current provider that does this as an inbuilt part of their Speech Recognition API.

I've used Microsoft Cognitive Services - Speaker Recognition API for something similar, but the audio is provided to the API separately to use of their Speech Recognition API.

Being able to combine the two would be useful.

Speech-to-Text basics, This allows the Speech-to-Text API to process your audio files using a machine learning model trained to recognize speech audio from that particular type of  When you enable speaker diarization in your transcription request, Speech-to-Text attempts to distinguish the different voices included in the audio sample. The transcription result tags each word


IMB's speech to text service does it. If you use their rest service its very simple, just add that you want different speakers identified in the url param. Documentation for it here (https://console.bluemix.net/docs/services/speech-to-text/output.html#speaker_labels)

it works kind of like this:

 curl -X POST -u {username}:{password}
--header "Content-Type: audio/flac"
--data-binary @{path}audio-multi.flac
"https://stream.watsonplatform.net/speech-to-text/api/v1/recognize?model=en-US_NarrowbandModel&speaker_labels=true"

then it will return a json with the results and speaker labels like this :

{
 "results": [
    {
      "alternatives": [
        {
          "timestamps": [
            [
              "hello",
              0.68,
              1.19
            ],
            [
              "yeah",
              1.47,
              1.93
            ],
            [
              "yeah",
              1.96,
              2.12
            ],
            [
              "how's",
              2.12,
              2.59
            ],
            [
              "Billy",
              2.59,
              3.17
            ],
            . . .
          ]
          "confidence": 0.821,
          "transcript": "hello yeah yeah how's Billy "
        }
      ],
      "final": true
    }
  ],
  "result_index": 0,
  "speaker_labels": [
    {
      "from": 0.68,
      "to": 1.19,
      "speaker": 2,
      "confidence": 0.418,
      "final": false
    },
    {
      "from": 1.47,
      "to": 1.93,
      "speaker": 1,
      "confidence": 0.521,
      "final": false
    },
    {
      "from": 1.96,
      "to": 2.12,
      "speaker": 2,
      "confidence": 0.407,
      "final": false
    },
    {
      "from": 2.12,
      "to": 2.59,
      "speaker": 2,
      "confidence": 0.407,
      "final": false
    },
    {
      "from": 2.59,
      "to": 3.17,
      "speaker": 2,
      "confidence": 0.407,
      "final": false
    },
    . . .
  ]
}

they also have web socket options and SDKs for different platforms that will access this, no just rest calls.

good luck

Google Cloud Speech: Distinguish Voices?, I know of no current provider that does this as an inbuilt part of their Speech Recognition API. I've used Microsoft Cognitive Services - Speaker  Google Cloud Text-to-Speech converts text into human-like speech in more than 180 voices across 30+ languages and variants. It applies groundbreaking research in speech synthesis (WaveNet) and


There is big difference between Speaker Identification and Speaker Differentiation. Most of the cloud AI platform mainly does the Speaker Differentiation. But Nuance is the only company claim to provide Speaker Identification, but you need to purchase their license. https://www.nuance.com/en-nz/omni-channel-customer-engagement/security/multi-modal-biometrics.html

Speech to text transcription with the Cloud Speech-to-Text API, The Cloud Speech API lets you do speech to text transcription from audio files in over 80 languages. In this lab, we will record an audio file and send it to the  In experiments, MixIT was trained using four Google Cloud tensor processing units (TPU) to tackle three tasks: speech separation, speech enhancement, and universal sound separation. For speech


Microsoft now does Speaker Identification as part of Conversation Transcription which combines real-time speech recognition, speaker identification, and diarization. This is an advanced feature of their Speech Services. This is described here:

https://docs.microsoft.com/en-us/azure/cognitive-services/speech-service/conversation-transcription-service

There are 3 steps:

  1. Collect voice samples from users.
  2. Generate user profiles using the user voice samples
  3. Use the Speech SDK to identify users (speakers) and transcribe speech

This is shown in the following diagram from the page:

This is currently limited to en-US and zh-CN in the following regions: centralus and eastasia.

Top 10 Best Speech Recognition APIs: Google Speech, IBM Watson , Google Speech API, Convert audio to text, enable voice searches, build API features: The Google Cloud Speech-to-Text API enables you to You can use the API to recognize noise from nearly any type of speech stream  Search giant, Google, has introduced a major update to its Cloud Speech API, which was launched in 2016 for developers to transcribe speech to text.The update comes with 30 new language and locale integrations to the already existing voice typing feature which currently supports 89 languages in Gboard on Android, Voice Search, Google Translate and other Google apps.


Google has recently released the ability to access user location, name, and a unique ID for the user in your apps.

The documentation can be find at: https://developers.google.com/actions/reference/nodejs/AssistantApp#getUser

Example to get user's name using getUserName:

const app = new DialogflowApp({request: req, response: res});
const REQUEST_PERMISSION_ACTION = 'request_permission';
const SAY_NAME_ACTION = 'get_name';

function requestPermission (app) {
const permission = app.SupportedPermissions.NAME;
 app.askForPermission('To know who you are', permission);
}

function sayName (app) {
  if (app.isPermissionGranted()) {
    app.tell('Your name is ' + app.getUserName().displayName));
  } else {
    // Response shows that user did not grant permission
    app.tell('Sorry, I could not get your name.');
  }
}
const actionMap = new Map();
actionMap.set(REQUEST_PERMISSION_ACTION, requestPermission);
actionMap.set(SAY_NAME_ACTION, sayName);
app.handleRequest(actionMap);

How to use Google Speech to Text API to transcribe long audio files?, Quickstart: Using client libraries | Cloud Speech-to-Text API | Google Cloud Today, there are Google Assistant, Alexa which takes our voice as… Speaker Diarization is a process of distinguishing speakers in an audio file. You can see a list of the voices available for speech synthesis in the Text-to-Speech on the Supported Voices page. The voices offered from Text-to-Speech can also differ in how they are produced,


Google Cloud Text-to-Speech adds 31 WaveNet voices, 7 , As of today, the Cloud Text-to-Speech API can recognize additional languages — seven languages and dialects, to be exact — and speak with  Powerful speech recognition. Google Speech-to-Text enables developers to convert audio to text by applying powerful neural network models in an easy-to-use API. The API recognizes more than 120


[PDF] Forum How accurately can the Google Web Speech API recognize , voice recognition to personal computers using these new methods. “In the late At the time of writing this research paper, Google Cloud Platform had just been  WaveNet voices are higher quality voices with different pricing; in the list, they have the voice type 'WaveNet'. To use these voices to create synthetic speech, see how to create synthetic voice


Google Cloud Speech – Integromat Support, In order to use Google Cloud Speech with Integromat, it is necessary to If this option is disabled, the module will only recognize the first channel. This feature is only supported for Voice Command and Voice Search use  def list_voices(): """Lists the available voices.""" from google.cloud import texttospeech client = texttospeech.TextToSpeechClient() # Performs the list voices request voices = client.list_voices() for voice in voices.voices: # Display the voice's name.