The model card for the vibe bot audio AI pipeline, includes all the necessary model and bin file
Here is the code base for vibe bot ai pipeline:
espeak-ng-data
- speak data for TTS
Id1_resnet34_LM_main_part.rknn
- Speaker ID RKNN part model
- run on NPU
- part 1
Id2_resnet34_LM_post.onnx
- Speaker ID ONNX part model
- run on CPU
- part2
encoder-epoch-30-avg-4.int8.onnx
- STT encoder model
- int8
encoder-epoch-30-avg-4.onnx
- STT encoder model
- float 32
decoder-epoch-30-avg-4.int8.onnx
- STT decoder model
- int8
decoder-epoch-30-avg-4.onnx
- STT encoder model
- float32
eff_word.rknn
- KWS rknn model
- run on NPU
embedding_864.bin
- KWS comparision samples
- store as bin file for efficient
en_GB-rachel-medium.onnx
- TTS onnx model
- rum on CPU
- GB accent, female
en_GB-rachel-medium.onnx.json
- TTS onnx model json file
en_US-joe-medium.onnx
- TTS onnx model
- rum on CPU
- US accent, male
en_US-joe-medium.onnx.json
- TTS onnx model json file
fb_t.bin
- KWS feat bin
joiner-epoch-30-avg-4.int8.onnx
- STT joiner model
- int8
joiner-epoch-30-avg-4.onnx
- STT joiner model
- float32
silero_vad.onnx
- AI vad model
- Upload silero_vad.onnx
tokens.txt
- STT tokens map text
voxceleb_CAM++_LM.onnx
- Speaker ID model
voxceleb_resnet34_LM.onnx
- Speaker ID model