Python SDK for working with Voicegain Speech-to-Text

Last update: Dec 14, 2022

Overview

Voicegain Speech-to-Text Python SDK

Python SDK for the Voicegain Speech-to-Text API.

This API allows for large vocabulary speech-to-text transcription as well as grammar-based speech recognition. Both real-time and offline use cases are supported.

You can see the core Voicegain API documentation here.

The complete documentation for the API covered by this SDK is available here - this link requires an account on the Voicegain portal - see below for how to sign up.

Requirements

In order to use this API you need account with Voicegain. You can create an account by signing up on Voicegain Portal. No credit card required to sign up.

You can see pricing here - basically, it is 1 cent a minute for off-line and 1.25 cents a minute for real-time. There is a Free Tier of 600 minutes that renews each month.

Installation

From PyPI directly:

pip install voicegain-speech

Examples

sync_transcribe example:

configuration:

" configuration = Configuration() configuration.access_token = JWT api_client = ApiClient(configuration=configuration) ">

from voicegain_speech import ApiClient
from voicegain_speech import Configuration
from voicegain_speech import TranscribeApi
import base64


# configure your JWT token
JWT = "Your 
   
    "
   

configuration = Configuration()
configuration.access_token = JWT

api_client = ApiClient(configuration=configuration)

transcribe local file:

transcribe_api = TranscribeApi(api_client)
file_path = "Your local file path"

with open(file_path, "rb") as f:
    audio_base64 = base64.b64encode(f.read()).decode()

response = transcribe_api.asr_transcribe_post(
    sync_transcription_request={
        "audio": {
            "source": {
                "inline": {
                    "data": audio_base64
                }
            }
        }
    }
)

alternatives = response.result.alternatives
if alternatives:
    local_result = alternatives[0].utterance
    print("result from file: ", local_result)

else:
    local_result = None
    print("no transcription")

More examples can be found in examples folder on our GitHub

Learn more about Voicegain Platform at www.voicegain.ai

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Python SDK for working with Voicegain Speech-to-Text

Related tags

Overview

Voicegain Speech-to-Text Python SDK

Requirements

Installation

Examples

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Releases(1.73.0)

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1.72.0(Dec 15, 2022)

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Owner

Voicegain

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