#how does Eleven labs deal with pronunciation of special words? For example acronymns that are prono

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tacit pulsarBOT
#
AI-generated Answer for jonathank1979

Eleven Labs provides a feature called Pronunciation Dictionaries that allows you to specify the pronunciation of certain words, such as acronyms or brand names. You can upload a lexicon or dictionary file that specifies pairs of words and how they should be pronounced, either using a phonetic alphabet or word substitutions. Whenever one of these words is encountered in a project, the AI model will pronounce the word using the specified replacement.

To provide a pronunciation dictionary file, you can open the settings for a project and upload a file in the .PLS format. When a dictionary is added to a project it will automatically recalculate which pieces of the project will need to be re-converted using the new dictionary file and mark these as unconverted.

Here is an example PLS file that specifies in IPA the pronunciation of “Apple” with IPA of “ˈæpl̩” and “UN” with an alias of “United Nations”:

<?xml version="1.0" encoding="UTF-8"?>
<lexicon version="1.0"       
  xmlns="http://www.w3.org/2005/01/pronunciation-lexicon"
  xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"       
  xsi:schemaLocation="http://www.w3.org/2005/01/pronunciation-lexicon         
  http://www.w3.org/TR/2007/CR-pronunciation-lexicon-20071212/pls.xsd"
  alphabet="ipa" xml:lang="en-GB">
  <lexeme>
    <grapheme>Apple</grapheme>
    <phoneme>ˈæpl̩</phoneme>
  </lexeme>
  <lexeme>
    <grapheme>UN</grapheme>
    <alias>United Nations</alias>
  </lexeme>
</lexicon>

If you want the program to pronounce each letter of the acronym, you can use the Alias feature in the pronunciation dictionary. For example, if you want the acronym "UN" to be pronounced as "U N", you can specify an alias for "UN" as "U N". This will force the program to pronounce each letter separately.

ebon frost
#

how about if i'ms using api? How do i attach a pronunciation dictionary to it?

tacit pulsarBOT
#
AI-generated Answer for jonathank1979

Eleven Labs provides a way to specify the pronunciation of certain words, such as acronyms, through the use of pronunciation dictionaries. These dictionaries allow you to upload a lexicon or dictionary file that specifies pairs of words and how they should be pronounced. This can be done using a phonetic alphabet or word substitutions.

For example, you can specify that the acronym "UN" should be read as "United Nations" whenever it is encountered in a project. The pronunciation dictionary file should be in the .PLS format.

Here is an example of a PLS file that specifies the pronunciation of “Apple” with IPA of “ˈæpl̩” and “UN” with an alias of “United Nations”:

<?xml version="1.0" encoding="UTF-8"?>
<lexicon version="1.0"       
xmlns="http://www.w3.org/2005/01/pronunciation-lexicon"       
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"        
xsi:schemaLocation="http://www.w3.org/2005/01/pronunciation-lexicon          
http://www.w3.org/TR/2007/CR-pronunciation-lexicon-20071212/pls.xsd"       
alphabet="ipa" xml:lang="en-GB">   
<lexeme>     
<grapheme>Apple</grapheme>     
<phoneme>ˈæpl̩</phoneme>   
</lexeme>   
<lexeme>     
<grapheme>UN</grapheme>     
<alias>United Nations</alias>   
</lexeme> 
</lexicon>

When using the API, you can upload a pronunciation dictionary using the add-from-file endpoint. Here's an example of how to do this in Python:

from elevenlabs.client import ElevenLabs  

client = ElevenLabs(     
    api_key="YOUR_API_KEY", 
) 
client.pronunciation_dictionary.add_from_file(     
    name="name", 
)

After uploading the pronunciation dictionary, you can use it in your text-to-speech call by including the pronunciation_dictionary_id and version_id in the pronunciation_dictionary_locators field of your request payload. Here's an example:

import requests  

# Set your API key and base URL 
XI_API_KEY = "API_KEY_HERE" 
BASE_URL = "https://api.elevenlabs.io/v1" 
VOICE_ID = "TxGEqnHWrfWFTfGW9XjX"  

# Headers for the request 
headers = {     
    "Accept": "application/json",     
    "xi-api-key": XI_API_KEY 
}  

def text_to_speech(text, pronunciation_dictionary_id, version_id):     
    """     
    Sends a text to speech request using a pronunciation dictionary.     
    Returns:     
    An audio file.     
    """     
    # Define the URL for the text-to-speech endpoint     
    url = f"{BASE_URL}/text-to-speech/{VOICE_ID}"          

    # Payload for the request     
    payload = {         
        "model_id": "eleven_monolingual_v1",         
        "pronunciation_dictionary_locators": [             
            {                 
                "pronunciation_dictionary_id": pronunciation_dictionary_id,                 
                "version_id": version_id             
            }         
        ],         
        "text": text,         
        "voice_settings": {             
            "stability": 0.5,             
            "similarity_boost": 0.8,             
            "style": 0.0,             
            "use_speaker_boost": True         
        }     
    }          

    # Make the POST request     
    response = requests.post(url, json=payload, headers=headers)          

    # Check the response status     
    if response.status_code == 200:         
        # Here you can save the audio response to a file if needed         
        print("Audio file generated successfully.")                  

        # Save the audio to a file         
        with open("output_audio.mp3", "wb") as audio_file:             
            audio_file.write(response.content)     
    else:         
        print("Error:", response.status_code)

In this example, replace API_KEY_HERE with your actual API key, PD_ID_HERE with the pronunciation dictionary ID, and VERSION_ID_HERE with the version ID.

ebon frost
#

yes i mean if i'm using eleven labs api