Add online speech denoiser for GTCRN and examples (#3324)

This PR adds online (streaming) speech denoising support for GTCRN alongside existing DPDFNet support, and updates multi-language bindings/examples to expose and validate the new capability.

java-api-examples/NonStreamingSpeechEnhancementDpdfNet.java

@@ -2,10 +2,11 @@
 
 // This file shows how to use DPDFNet speech enhancement models in sherpa-onnx
 //
-// Download DPDFNet models from the official Hugging Face hub:
+// Download DPDFNet models from either:
+// https://github.com/k2-fsa/sherpa-onnx/releases/tag/speech-enhancement-models
 // https://huggingface.co/Ceva-IP/DPDFNet
 //
-// Use baseline.onnx, dpdfnet2.onnx, dpdfnet4.onnx, or dpdfnet8.onnx
+// Use dpdfnet_baseline.onnx, dpdfnet2.onnx, dpdfnet4.onnx, or dpdfnet8.onnx
 // for 16 kHz downstream ASR or speech recognition.
 // Use dpdfnet2_48khz_hr.onnx for 48 kHz enhancement output.
 
@@ -13,7 +14,7 @@ import com.k2fsa.sherpa.onnx.*;
 
 public class NonStreamingSpeechEnhancementDpdfNet {
   public static void main(String[] args) {
-    String model = "./dpdfnet2.onnx";
+    String model = "./dpdfnet_baseline.onnx";
     OfflineSpeechDenoiserModelConfig.Builder builder =
         OfflineSpeechDenoiserModelConfig.builder()
             .setNumThreads(1)