Raspberry ai
Budget: $30 – $250 USD
Requirements:
Audio Reception (Input)
Set up the microphone or audio capture device on the Raspberry Pi to receive voice commands from users.
The system must be able to detect when specific words or voice commands are spoken.
Audio Processing
Implement a speech recognition system that converts audio to text. You can use tools such as Speech-to-Text to accomplish this.
The captured audio must be processed correctly to ensure accurate conversion to text, especially if the commands are triggered by keywords.
DeepSeek Integration (API)
After converting the audio to text, this text must be sent to the DeepSeek API.
Obtain the textual response from the DeepSeek API.
Voice Response Generation (Output)
Use Piper to convert the text response obtained from DeepSeek into audio (voice).
Use Stitch's voice to generate the voice output of the response.
Audio Playback
The Raspberry Pi must play the generated voice response back to the user.
Control by Name (Command Recognition)
The system must be able to identify a specific trigger command, such as "Hello [system name]" or something similar, before processing the next step. This ensures that the Raspberry Pi only responds to commands when its name is mentioned.
System Flow:
The user says "Hello [system name]."
The Raspberry Pi receives the audio and converts it to text.
The text is sent to the DeepSeek API.
The text response is received from DeepSeek.
The response text is converted to speech using Piper with Stitch's voice.
The Raspberry Pi plays the audio response back to the user.
Technical Requirements:
Must run efficiently on a Raspberry Pi, with good resource management so there are no significant processing delays.
Must be compatible with the latest version of Raspberry Pi OS.
The process must be automated and able to handle multiple consecutive interactions without manual intervention.
Audio Reception (Input)
Set up the microphone or audio capture device on the Raspberry Pi to receive voice commands from users.
The system must be able to detect when specific words or voice commands are spoken.
Audio Processing
Implement a speech recognition system that converts audio to text. You can use tools such as Speech-to-Text to accomplish this.
The captured audio must be processed correctly to ensure accurate conversion to text, especially if the commands are triggered by keywords.
DeepSeek Integration (API)
After converting the audio to text, this text must be sent to the DeepSeek API.
Obtain the textual response from the DeepSeek API.
Voice Response Generation (Output)
Use Piper to convert the text response obtained from DeepSeek into audio (voice).
Use Stitch's voice to generate the voice output of the response.
Audio Playback
The Raspberry Pi must play the generated voice response back to the user.
Control by Name (Command Recognition)
The system must be able to identify a specific trigger command, such as "Hello [system name]" or something similar, before processing the next step. This ensures that the Raspberry Pi only responds to commands when its name is mentioned.
System Flow:
The user says "Hello [system name]."
The Raspberry Pi receives the audio and converts it to text.
The text is sent to the DeepSeek API.
The text response is received from DeepSeek.
The response text is converted to speech using Piper with Stitch's voice.
The Raspberry Pi plays the audio response back to the user.
Technical Requirements:
Must run efficiently on a Raspberry Pi, with good resource management so there are no significant processing delays.
Must be compatible with the latest version of Raspberry Pi OS.
The process must be automated and able to handle multiple consecutive interactions without manual intervention.