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tflite_int8

README.md

Wav2letter INT8

Description

Wav2letter is a convolutional speech recognition neural network. This implementation was created by Arm and quantized to the INT8 datatype.

License

Apache-2.0

Related Materials

Class Labels

The class labels associated with this model can be downloaded by running the script get_class_labels.sh.

Network Information

Network Information Value
Framework TensorFlow Lite
SHA-1 Hash 481b7621801363b64dca2cc02b661b26866af76c
Size (Bytes) 23815520
Provenance https://github.com/ARM-software/ML-zoo/tree/master/models/speech_recognition/wav2letter/tflite_int8
Paper https://arxiv.org/abs/1609.03193

Accuracy

Dataset: Librispeech

Metric Value
Ler 0.0877

Performance

Platform Optimized
Cortex-A ✔️
Cortex-M ✔️
Mali GPU ✔️
Ethos U ✔️

Key

  • ✔️ - Will run on this platform.
  • ✖️ - Will not run on this platform.

Optimizations

Optimization Value
Quantization INT8

Network Inputs

Input Node Name Shape Description
input_2_int8 (1, 296, 39) Speech converted to MFCCs and quantized to INT8.

Network Outputs

Output Node Name Shape Description
Identity_int8 (1, 1, 148, 29) A tensor of time and class probabilities, that represents the probability of each class at each timestep. Should be passed to a decoder. For example ctc_beam_search_decoder.