Speech to Text API v3.0

Speech to Text API v3.0.

Request URL

Request parameters

string

Format - uuid. The identifier of the evaluation.

Request headers

string
Subscription key which provides access to this API. Found in your Cognitive Services accounts.

Request body

Response 200

OK

{
  "self": "https://westus.api.cognitive.microsoft.com/speechtotext/v3.0/evaluations/1c50ce42-6ab7-454f-8c39-54a752d1a5b6",
  "model1": {
    "self": "https://westus.api.cognitive.microsoft.com/speechtotext/v3.0/models/base/8a043172-65b7-4cf3-a8b5-4449efa5a0f1"
  },
  "model2": {
    "self": "https://westus.api.cognitive.microsoft.com/speechtotext/v3.0/models/021a72d0-54c4-43d3-8254-27336ead9037"
  },
  "dataset": {
    "self": "https://westus.api.cognitive.microsoft.com/speechtotext/v3.0/datasets/ca588c0f-7637-47db-a137-dd4223a42d93"
  },
  "transcription2": {
    "self": "https://westus.api.cognitive.microsoft.com/speechtotext/v3.0/transcriptions/ad86d0c9-af6d-4d14-a621-c60d7d65b74f"
  },
  "transcription1": {
    "self": "https://westus.api.cognitive.microsoft.com/speechtotext/v3.0/transcriptions/9c142230-a9e4-4dbb-8cc7-70ca43d5cc91"
  },
  "links": {
    "files": "https://westus.api.cognitive.microsoft.com/speechtotext/v3.0/evaluations/00000000-0000-0000-0000-000000000000/files"
  },
  "properties": {
    "wordErrorRate2": 0.065,
    "wordErrorRate1": 0.065,
    "sentenceErrorRate2": 0.375,
    "sentenceCount2": 8,
    "wordCount2": 46,
    "correctWordCount2": 43,
    "wordSubstitutionCount2": 3,
    "wordDeletionCount2": 0,
    "wordInsertionCount2": 0,
    "sentenceErrorRate1": 0.375,
    "sentenceCount1": 8,
    "wordCount1": 46,
    "correctWordCount1": 43,
    "wordSubstitutionCount1": 3,
    "wordDeletionCount1": 0,
    "wordInsertionCount1": 0
  },
  "lastActionDateTime": "2019-01-07T11:36:07Z",
  "status": "Succeeded",
  "createdDateTime": "2019-01-07T11:34:12Z",
  "locale": "en-US",
  "displayName": "Evalution of one model against another model"
}
{
  "title": "Evaluation",
  "required": [
    "model1",
    "model2",
    "dataset",
    "displayName",
    "locale"
  ],
  "type": "object",
  "properties": {
    "model1": {
      "title": "EntityReference",
      "required": [
        "self"
      ],
      "type": "object",
      "properties": {
        "self": {
          "description": "The location of the referenced entity.",
          "type": "string",
          "readOnly": false
        }
      },
      "description": "The first model that can be used to evaluate the improvements and differences.",
      "readOnly": false
    },
    "model2": {
      "title": "EntityReference",
      "required": [
        "self"
      ],
      "type": "object",
      "properties": {
        "self": {
          "description": "The location of the referenced entity.",
          "type": "string",
          "readOnly": false
        }
      },
      "description": "The second model that can be used to evaluate the improvements and differences.",
      "readOnly": false
    },
    "transcription1": {
      "title": "EntityReference",
      "required": [
        "self"
      ],
      "type": "object",
      "properties": {
        "self": {
          "description": "The location of the referenced entity.",
          "type": "string",
          "readOnly": false
        }
      },
      "description": "Information about the transcriptions used in the evaluation with model1.",
      "readOnly": true
    },
    "transcription2": {
      "title": "EntityReference",
      "required": [
        "self"
      ],
      "type": "object",
      "properties": {
        "self": {
          "description": "The location of the referenced entity.",
          "type": "string",
          "readOnly": false
        }
      },
      "description": "Information about the transcriptions used in the evaluation with model2.",
      "readOnly": true
    },
    "dataset": {
      "title": "EntityReference",
      "required": [
        "self"
      ],
      "type": "object",
      "properties": {
        "self": {
          "description": "The location of the referenced entity.",
          "type": "string",
          "readOnly": false
        }
      },
      "description": "Information about the dataset used in the evaluation.",
      "readOnly": false
    },
    "links": {
      "title": "Links",
      "type": "object",
      "properties": {
        "files": {
          "description": "The location to get all files of this entity.",
          "type": "string",
          "readOnly": true
        }
      },
      "description": "The links for additional actions or content related to this evaluation.",
      "readOnly": true
    },
    "properties": {
      "title": "EvaluationProperties",
      "type": "object",
      "properties": {
        "wordErrorRate2": {
          "format": "double",
          "description": "The word error rate of recognition with model2.",
          "type": "number",
          "readOnly": true
        },
        "wordErrorRate1": {
          "format": "double",
          "description": "The word error rate of recognition with model1.",
          "type": "number",
          "readOnly": true
        },
        "sentenceErrorRate2": {
          "format": "double",
          "description": "The sentence error rate of recognition with model2.",
          "type": "number",
          "readOnly": true
        },
        "sentenceCount2": {
          "format": "int32",
          "description": "The number of processed sentences by model2.",
          "type": "integer",
          "readOnly": true
        },
        "wordCount2": {
          "format": "int32",
          "description": "The number of processed words by model2.",
          "type": "integer",
          "readOnly": true
        },
        "correctWordCount2": {
          "format": "int32",
          "description": "The number of correctly recognized words by model2.",
          "type": "integer",
          "readOnly": true
        },
        "wordSubstitutionCount2": {
          "format": "int32",
          "description": "The number of recognized words by model2, that are substitutions.",
          "type": "integer",
          "readOnly": true
        },
        "wordDeletionCount2": {
          "format": "int32",
          "description": "The number of recognized words by model2, that are deletions.",
          "type": "integer",
          "readOnly": true
        },
        "wordInsertionCount2": {
          "format": "int32",
          "description": "The number of recognized words by model2, that are insertions.",
          "type": "integer",
          "readOnly": true
        },
        "sentenceErrorRate1": {
          "format": "double",
          "description": "The sentence error rate of recognition with model1.",
          "type": "number",
          "readOnly": true
        },
        "sentenceCount1": {
          "format": "int32",
          "description": "The number of processed sentences by model1.",
          "type": "integer",
          "readOnly": true
        },
        "wordCount1": {
          "format": "int32",
          "description": "The number of processed words by model1.",
          "type": "integer",
          "readOnly": true
        },
        "correctWordCount1": {
          "format": "int32",
          "description": "The number of correctly recognized words by model1.",
          "type": "integer",
          "readOnly": true
        },
        "wordSubstitutionCount1": {
          "format": "int32",
          "description": "The number of recognized words by model1, that are substitutions.",
          "type": "integer",
          "readOnly": true
        },
        "wordDeletionCount1": {
          "format": "int32",
          "description": "The number of recognized words by model1, that are deletions.",
          "type": "integer",
          "readOnly": true
        },
        "wordInsertionCount1": {
          "format": "int32",
          "description": "The number of recognized words by model1, that are insertions.",
          "type": "integer",
          "readOnly": true
        },
        "email": {
          "description": "The email address to send email notifications to in case the operation completes.\r\nThe value will be removed after successfully sending the email.",
          "type": "string",
          "readOnly": false
        },
        "error": {
          "title": "EntityError",
          "type": "object",
          "properties": {
            "code": {
              "description": "The code of this error.",
              "type": "string",
              "readOnly": true
            },
            "message": {
              "description": "The message for this error.",
              "type": "string",
              "readOnly": true
            }
          },
          "description": "The details of the error in case the entity is in a failed state.",
          "readOnly": true
        }
      },
      "description": "Additional configuration options when creating a new evaluation and additional metadata provided by the service.",
      "readOnly": true
    },
    "project": {
      "title": "EntityReference",
      "required": [
        "self"
      ],
      "type": "object",
      "properties": {
        "self": {
          "description": "The location of the referenced entity.",
          "type": "string",
          "readOnly": false
        }
      },
      "description": "The project, the evaluation is associated with.",
      "readOnly": false
    },
    "self": {
      "description": "The location of this entity.",
      "type": "string",
      "readOnly": true
    },
    "lastActionDateTime": {
      "format": "date-time",
      "description": "The time-stamp when the current status was entered.\r\nThe time stamp is encoded as ISO 8601 date and time format\r\n(\"YYYY-MM-DDThh:mm:ssZ\", see https://en.wikipedia.org/wiki/ISO_8601#Combined_date_and_time_representations).",
      "type": "string",
      "readOnly": true
    },
    "status": {
      "description": "The status of the object.",
      "enum": [
        "NotStarted",
        "Running",
        "Succeeded",
        "Failed"
      ],
      "type": "string",
      "readOnly": true,
      "x-ms-enum": {
        "name": "Status",
        "modelAsString": false
      }
    },
    "createdDateTime": {
      "format": "date-time",
      "description": "The time-stamp when the object was created.\r\nThe time stamp is encoded as ISO 8601 date and time format\r\n(\"YYYY-MM-DDThh:mm:ssZ\", see https://en.wikipedia.org/wiki/ISO_8601#Combined_date_and_time_representations).",
      "type": "string",
      "readOnly": true
    },
    "displayName": {
      "description": "The display name of the object.",
      "type": "string",
      "readOnly": false
    },
    "description": {
      "description": "The description of the object.",
      "type": "string",
      "readOnly": false
    },
    "customProperties": {
      "description": "The custom properties of this entity. The maximum allowed key length is 64 characters, the maximum\r\nallowed value length is 256 characters and the count of allowed entries is 10.",
      "type": "object",
      "additionalProperties": {
        "type": "string"
      },
      "readOnly": false
    },
    "locale": {
      "description": "The locale of the contained data.",
      "type": "string",
      "readOnly": false
    }
  },
  "example": {
    "model1": {
      "self": "https://westus.api.cognitive.microsoft.com/speechtotext/v3.0/models/base/8a043172-65b7-4cf3-a8b5-4449efa5a0f1"
    },
    "model2": {
      "self": "https://westus.api.cognitive.microsoft.com/speechtotext/v3.0/models/021a72d0-54c4-43d3-8254-27336ead9037"
    },
    "dataset": {
      "self": "https://westus.api.cognitive.microsoft.com/speechtotext/v3.0/datasets/ca588c0f-7637-47db-a137-dd4223a42d93"
    },
    "locale": "en-US",
    "displayName": "My new evaluation",
    "description": "The description of the evaluation"
  }
}

Response 400

In case the operation cannot be performed successfully with the specified values.

{
  "code": "InvalidRequest",
  "message": "The base model isn't valid for this operation.",
  "innerError": {
    "code": "InvalidBaseModel",
    "message": "The base model isn't valid for this operation."
  }
}

Response 401

In case the user isn't authorized.

{
  "code": "Unauthorized",
  "message": "Authentication is required to access the resource."
}

Response 403

In case authorized user isn't known or doesn't have the required permissions.

{
  "code": "Forbidden",
  "message": "No permission to access this resource."
}

Response 404

In case the specified entity doesn't exist

{
  "code": "NotFound",
  "message": "The specified entity cannot be found."
}

Response 429

In case the rate limit has been exceeded.

{
  "code": "TooManyRequests",
  "message": "The rate limit has been reached. The timeout in seconds can be found in the Retry-After header."
}

Code samples

@ECHO OFF

curl -v -X GET "https://centralindia.api.cognitive.microsoft.com/speechtotext/v3.0/evaluations/{id}"
-H "Ocp-Apim-Subscription-Key: {subscription key}"

--data-ascii "{body}" 
using System;
using System.Net.Http.Headers;
using System.Text;
using System.Net.Http;
using System.Web;

namespace CSHttpClientSample
{
    static class Program
    {
        static void Main()
        {
            MakeRequest();
            Console.WriteLine("Hit ENTER to exit...");
            Console.ReadLine();
        }
        
        static async void MakeRequest()
        {
            var client = new HttpClient();
            var queryString = HttpUtility.ParseQueryString(string.Empty);

            // Request headers
            client.DefaultRequestHeaders.Add("Ocp-Apim-Subscription-Key", "{subscription key}");

            var uri = "https://centralindia.api.cognitive.microsoft.com/speechtotext/v3.0/evaluations/{id}?" + queryString;

            var response = await client.GetAsync(uri);
        }
    }
}	
// // This sample uses the Apache HTTP client from HTTP Components (http://hc.apache.org/httpcomponents-client-ga/)
import java.net.URI;
import org.apache.http.HttpEntity;
import org.apache.http.HttpResponse;
import org.apache.http.client.HttpClient;
import org.apache.http.client.methods.HttpGet;
import org.apache.http.client.utils.URIBuilder;
import org.apache.http.impl.client.HttpClients;
import org.apache.http.util.EntityUtils;

public class JavaSample 
{
    public static void main(String[] args) 
    {
        HttpClient httpclient = HttpClients.createDefault();

        try
        {
            URIBuilder builder = new URIBuilder("https://centralindia.api.cognitive.microsoft.com/speechtotext/v3.0/evaluations/{id}");


            URI uri = builder.build();
            HttpGet request = new HttpGet(uri);
            request.setHeader("Ocp-Apim-Subscription-Key", "{subscription key}");


            // Request body
            StringEntity reqEntity = new StringEntity("{body}");
            request.setEntity(reqEntity);

            HttpResponse response = httpclient.execute(request);
            HttpEntity entity = response.getEntity();

            if (entity != null) 
            {
                System.out.println(EntityUtils.toString(entity));
            }
        }
        catch (Exception e)
        {
            System.out.println(e.getMessage());
        }
    }
}

<!DOCTYPE html>
<html>
<head>
    <title>JSSample</title>
    <script src="http://ajax.googleapis.com/ajax/libs/jquery/1.9.0/jquery.min.js"></script>
</head>
<body>

<script type="text/javascript">
    $(function() {
        var params = {
            // Request parameters
        };
      
        $.ajax({
            url: "https://centralindia.api.cognitive.microsoft.com/speechtotext/v3.0/evaluations/{id}?" + $.param(params),
            beforeSend: function(xhrObj){
                // Request headers
                xhrObj.setRequestHeader("Ocp-Apim-Subscription-Key","{subscription key}");
            },
            type: "GET",
            // Request body
            data: "{body}",
        })
        .done(function(data) {
            alert("success");
        })
        .fail(function() {
            alert("error");
        });
    });
</script>
</body>
</html>
#import <Foundation/Foundation.h>

int main(int argc, const char * argv[])
{
    NSAutoreleasePool * pool = [[NSAutoreleasePool alloc] init];
    
    NSString* path = @"https://centralindia.api.cognitive.microsoft.com/speechtotext/v3.0/evaluations/{id}";
    NSArray* array = @[
                         // Request parameters
                         @"entities=true",
                      ];
    
    NSString* string = [array componentsJoinedByString:@"&"];
    path = [path stringByAppendingFormat:@"?%@", string];

    NSLog(@"%@", path);

    NSMutableURLRequest* _request = [NSMutableURLRequest requestWithURL:[NSURL URLWithString:path]];
    [_request setHTTPMethod:@"GET"];
    // Request headers
    [_request setValue:@"{subscription key}" forHTTPHeaderField:@"Ocp-Apim-Subscription-Key"];
    // Request body
    [_request setHTTPBody:[@"{body}" dataUsingEncoding:NSUTF8StringEncoding]];
    
    NSURLResponse *response = nil;
    NSError *error = nil;
    NSData* _connectionData = [NSURLConnection sendSynchronousRequest:_request returningResponse:&response error:&error];

    if (nil != error)
    {
        NSLog(@"Error: %@", error);
    }
    else
    {
        NSError* error = nil;
        NSMutableDictionary* json = nil;
        NSString* dataString = [[NSString alloc] initWithData:_connectionData encoding:NSUTF8StringEncoding];
        NSLog(@"%@", dataString);
        
        if (nil != _connectionData)
        {
            json = [NSJSONSerialization JSONObjectWithData:_connectionData options:NSJSONReadingMutableContainers error:&error];
        }
        
        if (error || !json)
        {
            NSLog(@"Could not parse loaded json with error:%@", error);
        }
        
        NSLog(@"%@", json);
        _connectionData = nil;
    }
    
    [pool drain];

    return 0;
}
<?php
// This sample uses the Apache HTTP client from HTTP Components (http://hc.apache.org/httpcomponents-client-ga/)
require_once 'HTTP/Request2.php';

$request = new Http_Request2('https://centralindia.api.cognitive.microsoft.com/speechtotext/v3.0/evaluations/{id}');
$url = $request->getUrl();

$headers = array(
    // Request headers
    'Ocp-Apim-Subscription-Key' => '{subscription key}',
);

$request->setHeader($headers);

$parameters = array(
    // Request parameters
);

$url->setQueryVariables($parameters);

$request->setMethod(HTTP_Request2::METHOD_GET);

// Request body
$request->setBody("{body}");

try
{
    $response = $request->send();
    echo $response->getBody();
}
catch (HttpException $ex)
{
    echo $ex;
}

?>
########### Python 2.7 #############
import httplib, urllib, base64

headers = {
    # Request headers
    'Ocp-Apim-Subscription-Key': '{subscription key}',
}

params = urllib.urlencode({
})

try:
    conn = httplib.HTTPSConnection('centralindia.api.cognitive.microsoft.com')
    conn.request("GET", "/speechtotext/v3.0/evaluations/{id}?%s" % params, "{body}", headers)
    response = conn.getresponse()
    data = response.read()
    print(data)
    conn.close()
except Exception as e:
    print("[Errno {0}] {1}".format(e.errno, e.strerror))

####################################

########### Python 3.2 #############
import http.client, urllib.request, urllib.parse, urllib.error, base64

headers = {
    # Request headers
    'Ocp-Apim-Subscription-Key': '{subscription key}',
}

params = urllib.parse.urlencode({
})

try:
    conn = http.client.HTTPSConnection('centralindia.api.cognitive.microsoft.com')
    conn.request("GET", "/speechtotext/v3.0/evaluations/{id}?%s" % params, "{body}", headers)
    response = conn.getresponse()
    data = response.read()
    print(data)
    conn.close()
except Exception as e:
    print("[Errno {0}] {1}".format(e.errno, e.strerror))

####################################
require 'net/http'

uri = URI('https://centralindia.api.cognitive.microsoft.com/speechtotext/v3.0/evaluations/{id}')
uri.query = URI.encode_www_form({
})

request = Net::HTTP::Get.new(uri.request_uri)
# Request headers
request['Ocp-Apim-Subscription-Key'] = '{subscription key}'
# Request body
request.body = "{body}"

response = Net::HTTP.start(uri.host, uri.port, :use_ssl => uri.scheme == 'https') do |http|
    http.request(request)
end

puts response.body