speechcortex-sdk 0.1.3

The official Python SDK for SpeechCortex ASR platform.

SpeechCortex Python SDK

Official Python SDK for SpeechCortex ASR (Automatic Speech Recognition) platform.

Features

• Real-time Speech Recognition: WebSocket-based streaming ASR
• Pre-recorded Transcription: REST API for batch processing (coming soon)
• Easy Integration: Simple, intuitive API
• Async Support: Full async/await support for modern Python applications

Requirements

• Python 3.10 or higher

Installation

pip install "git+https://github.com/speechcortex/speechcortex-sdk.git@package_init"

export SPEECHCORTEX_API_KEY=your_api_key_here
export SPEECHCORTEX_HOST=wss://api.speechcortex.com

Quick Start

Real-time Transcription

from speechcortex import SpeechCortexClient, LiveTranscriptionEvents, LiveOptions

# Initialize the client
speechcortex = SpeechCortexClient(api_key="your_api_key_here")

# Get WebSocket connection
connection = speechcortex.listen.websocket.v("1")

# Set up event handlers
def on_message(self, result, **kwargs):
    sentence = result.channel.alternatives[0].transcript
    if result.is_final:
        print(f"Final: {sentence}")
    else:
        print(f"Interim: {sentence}")

def on_error(self, error, **kwargs):
    print(f"Error: {error}")

# Register event handlers
connection.on(LiveTranscriptionEvents.Transcript, on_message)
connection.on(LiveTranscriptionEvents.Error, on_error)

# Configure options
options = LiveOptions(
    model="zeus-v1",
    language="en-US",
    smart_format=True,
)

# Start the connection
connection.start(options)

# Send audio data
connection.send(audio_data)

# Close when done
connection.finish()

Using with Microphone

from speechcortex import SpeechCortexClient, LiveTranscriptionEvents, LiveOptions, Microphone

speechcortex = SpeechCortexClient()
connection = speechcortex.listen.websocket.v("1")

# Set up event handlers...
connection.on(LiveTranscriptionEvents.Transcript, on_message)

# Start connection
options = LiveOptions(model="zeus-v1", smart_format=True)
connection.start(options)

# Use microphone helper
microphone = Microphone(connection.send)
microphone.start()

# Microphone will stream audio automatically
# Press Ctrl+C to stop

microphone.finish()
connection.finish()

Configuration

API Key

Set your API key via environment variable:

export SPEECHCORTEX_API_KEY=your_api_key_here

Or pass it directly:

speechcortex = SpeechCortexClient(api_key="your_api_key_here")

Custom Endpoints

from speechcortex import SpeechCortexClient, SpeechCortexClientOptions

config = SpeechCortexClientOptions(
    api_key="your_api_key",
    url="https://custom-api.speechcortex.com"
)
speechcortex = SpeechCortexClient(config=config)

Features

Real-time Transcription Options

• model: ASR model to use (e.g., "zeus-v1")
• language: Language code (e.g., "en-US")
• smart_format: Enable smart formatting
• punctuate: Enable punctuation
• interim_results: Receive interim results
• utterance_end_ms: Utterance end timeout in milliseconds
• vad_events: Enable voice activity detection events

Events

• Open: Connection opened
• Transcript: Transcription result received
• Metadata: Metadata received
• SpeechStarted: Speech detected
• UtteranceEnd: End of utterance detected
• Close: Connection closed
• Error: Error occurred
• Unhandled: Unhandled message received

Development

Setup Development Environment

# Clone the repository
git clone https://github.com/speechcortex/speechcortex-sdk.git
cd speechcortex-sdk

# Install dependencies
pip install -r requirements-dev.txt

# Run tests
pytest

# Run linting
pylint speechcortex/

# Format code
black speechcortex/

License

MIT License - see LICENSE file for details.

Support

For issues, questions, or contributions, please visit our GitHub repository.