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Mansa.v1

Mansa is a 1.4B parameter ASR model optimized for African names and concepts, offering high transcription accuracy and low-latency performance. Some of the key features are:
  • African named entity recognition in English contexts
  • Custom spelling guidance for names and specialized terms.
  • Sentence or Word-level timestamps for audio up to 30 minutes (25MB)
Mansa currently supports English only. If you try to use it with any other language, the API will return a 400 error.

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Getting Started

Before you can try out our new model, you need to make sure that you’re using the latest version of our SDK.
pip install spitch>=1.34.0
Ready to give it a spin? Use the code sample below to get started.
Python
from spitch import Spitch
client = Spitch(api_key="YOUR-API-KEY")

response = client.speech.transcribe(
    content=open("YOUR-AUDIO-FILE", "rb"), 
    language="en", 
    model="mansa_v1",
	timestamps="sentence",#Choose either sentence-level transcriptions or word-level transcriptions
	special_words=["Spitch"] # Add your special words here
)

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Response Format

The sample response format is: 
SpeechTranscribeResponse(
    request_id="35580dcf-xxxx-4666-8d75-xxxxxxxxxx",
    text=(
        "I'm having some power issues, I won't be available for a bit. "
        "All right. Please let me know when you are back."
    ),
    timestamps=[
        Timestamp(
            start=1.20,
            end=4.64,
            text="I'm having some power issues, I won't be available for a bit."
        ),
        Timestamp(
            start=5.80,
            end=6.72,
            text="All right."
        ),
        Timestamp(
            start=8.08,
            end=9.92,
            text="Please let me know when you are back."
        ),
    ]
)
You can index into this response to fetch specific parameters like text or timestamps.
Mansa.v1 currently supports only English language. Additional language support will be available in upcoming releases.

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Parameters

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model
string
“mansa_v1”
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timestamp
string
“sentence”, “word”, “none”
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special_words
comma separated list
You can use special_words to guide Mansa’s Named Entity Recognition. By entering in a list of entity strings, Mansa will accurately recognize and transcribe those terms in your audio.