108 lines
3.6 KiB
Markdown
108 lines
3.6 KiB
Markdown
---
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layout: default
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title: "Text-to-Speech"
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parent: "Utility Function"
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nav_order: 8
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---
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# Text-to-Speech
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| **Service** | **Free Tier** | **Pricing Model** | **Docs** |
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|----------------------|-----------------------|--------------------------------------------------------------|---------------------------------------------------------------------|
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| **Amazon Polly** | 5M std + 1M neural | ~$4 /M (std), ~$16 /M (neural) after free tier | [Polly Docs](https://aws.amazon.com/polly/) |
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| **Google Cloud TTS** | 4M std + 1M WaveNet | ~$4 /M (std), ~$16 /M (WaveNet) pay-as-you-go | [Cloud TTS Docs](https://cloud.google.com/text-to-speech) |
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| **Azure TTS** | 500K neural ongoing | ~$15 /M (neural), discount at higher volumes | [Azure TTS Docs](https://azure.microsoft.com/products/cognitive-services/text-to-speech/) |
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| **IBM Watson TTS** | 10K chars Lite plan | ~$0.02 /1K (i.e. ~$20 /M). Enterprise options available | [IBM Watson Docs](https://www.ibm.com/cloud/watson-text-to-speech) |
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| **ElevenLabs** | 10K chars monthly | From ~$5/mo (30K chars) up to $330/mo (2M chars). Enterprise | [ElevenLabs Docs](https://elevenlabs.io) |
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## Example Python Code
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### Amazon Polly
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```python
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import boto3
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polly = boto3.client("polly", region_name="us-east-1",
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aws_access_key_id="YOUR_AWS_ACCESS_KEY_ID",
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aws_secret_access_key="YOUR_AWS_SECRET_ACCESS_KEY")
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resp = polly.synthesize_speech(
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Text="Hello from Polly!",
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OutputFormat="mp3",
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VoiceId="Joanna"
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)
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with open("polly.mp3", "wb") as f:
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f.write(resp["AudioStream"].read())
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```
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### Google Cloud TTS
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```python
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from google.cloud import texttospeech
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client = texttospeech.TextToSpeechClient()
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input_text = texttospeech.SynthesisInput(text="Hello from Google Cloud TTS!")
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voice = texttospeech.VoiceSelectionParams(language_code="en-US")
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audio_cfg = texttospeech.AudioConfig(audio_encoding=texttospeech.AudioEncoding.MP3)
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resp = client.synthesize_speech(input=input_text, voice=voice, audio_config=audio_cfg)
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with open("gcloud_tts.mp3", "wb") as f:
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f.write(resp.audio_content)
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```
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### Azure TTS
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```python
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import azure.cognitiveservices.speech as speechsdk
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speech_config = speechsdk.SpeechConfig(
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subscription="AZURE_KEY", region="AZURE_REGION")
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audio_cfg = speechsdk.audio.AudioConfig(filename="azure_tts.wav")
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synthesizer = speechsdk.SpeechSynthesizer(
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speech_config=speech_config,
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audio_config=audio_cfg
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)
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synthesizer.speak_text_async("Hello from Azure TTS!").get()
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```
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### IBM Watson TTS
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```python
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from ibm_watson import TextToSpeechV1
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from ibm_cloud_sdk_core.authenticators import IAMAuthenticator
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auth = IAMAuthenticator("IBM_API_KEY")
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service = TextToSpeechV1(authenticator=auth)
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service.set_service_url("IBM_SERVICE_URL")
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resp = service.synthesize(
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"Hello from IBM Watson!",
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voice="en-US_AllisonV3Voice",
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accept="audio/mp3"
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).get_result()
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with open("ibm_tts.mp3", "wb") as f:
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f.write(resp.content)
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```
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### ElevenLabs
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```python
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import requests
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api_key = "ELEVENLABS_KEY"
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voice_id = "ELEVENLABS_VOICE"
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url = f"https://api.elevenlabs.io/v1/text-to-speech/{voice_id}"
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headers = {"xi-api-key": api_key, "Content-Type": "application/json"}
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json_data = {
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"text": "Hello from ElevenLabs!",
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"voice_settings": {"stability": 0.75, "similarity_boost": 0.75}
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}
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resp = requests.post(url, headers=headers, json=json_data)
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with open("elevenlabs.mp3", "wb") as f:
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f.write(resp.content)
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```
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