Ebranchformer (#1951)

* adding ebranchformer encoder

* extend surfaced FeatureExtractorConfig

- so ebranchformer feature extraction can be configured from Python
- the GlobCmvn is not needed, as it is a module in the OnnxEncoder

* clean the code

* Integrating remarks from Fangjun

Author: KarelVesely84

sherpa-onnx/csrc/CMakeLists.txt

@@ -68,6 +68,7 @@ set(sources
   online-ctc-fst-decoder.cc
   online-ctc-greedy-search-decoder.cc
   online-ctc-model.cc
+  online-ebranchformer-transducer-model.cc
   online-lm-config.cc
   online-lm.cc
   online-lstm-transducer-model.cc

sherpa-onnx/csrc/features.cc

@@ -48,7 +48,9 @@ std::string FeatureExtractorConfig::ToString() const {
   os << "feature_dim=" << feature_dim << ", ";
   os << "low_freq=" << low_freq << ", ";
   os << "high_freq=" << high_freq << ", ";
-  os << "dither=" << dither << ")";
+  os << "dither=" << dither << ", ";
+  os << "normalize_samples=" << (normalize_samples ? "True" : "False") << ", ";
+  os << "snip_edges=" << (snip_edges ? "True" : "False") << ")";
 
   return os.str();
 }