4 LLM frameworks to build AI apps with voice data

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  • Опубліковано 9 чер 2024
  • In this video we'll look at 4 LLM frameworks to build AI apps with voice data:
    - LeMUR: www.assemblyai.com/docs/getti...
    - LangChain: www.langchain.com/langchain
    - LlamaIndex: www.llamaindex.ai/
    - Haystack: haystack.deepset.ai/
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КОМЕНТАРІ • 3

  • @VijayDChauhaan
    @VijayDChauhaan 3 місяці тому

    What if I dont want assembly AI?

    • @AssemblyAI
      @AssemblyAI  3 місяці тому +4

      Then you could also use those frameworks but probably have to implement your own custom audio data loader

  • @Tech_Knowledge99
    @Tech_Knowledge99 3 місяці тому +1

    Speech Recognition with a Twist: Instead of a standard speech-to-text project, focus on recognizing different voices or accents. This can be helpful for speaker identification or creating more personalized voice assistant experiences.
    If i have multiple persons voice.I have trained data set.How to predict proper speaker identify.
    If i ask through my video my voice assistant. Who am i ?My voice assistant tell me you are sanjay.But if a another ask to assistant.who am i? My voice assistant can't say.
    Mean focas this project proper speaker identify.
    If i say my phone. My voice is my password.It open because i have already trained data set .But if another person say my phone my voice is my password.My voice can't detection who is say it.
    Please make a video .How to detect proper speaker identification ?