Use PhaseB FP16 IOFP32 browser artifact

app.js

@@ -1,7 +1,7 @@
 const MODEL_REPO = "Reza2kn/visualears-fastconformer-fa-depoisoned-phaseB-onnx-fp16";
-const MODEL_FILE = "fastconformer_phaseB_ctc_fixed2005_len_fp16_full_io.onnx";
-const MODEL_DATA_FILE = "fastconformer_phaseB_ctc_fixed2005_len_fp16_full_io_castfixed.onnx.data";
-const MODEL_EMBEDDED_FILE = "fastconformer_phaseB_ctc_fixed2005_len_fp16_full_io_embedded.onnx";
+const MODEL_FILE = "fastconformer_phaseB_ctc_fixed2005_len_fp16_iofp32.onnx";
+const MODEL_DATA_FILE = "fastconformer_phaseB_ctc_fixed2005_len_fp16_iofp32.onnx.data";
+const MODEL_EMBEDDED_FILE = "fastconformer_phaseB_ctc_fixed2005_len_fp16_iofp32_embedded.onnx";
 const MODEL_URL = `https://huggingface.co/${MODEL_REPO}/resolve/main/${MODEL_FILE}`;
 const MODEL_DATA_URL = `https://huggingface.co/${MODEL_REPO}/resolve/main/${MODEL_DATA_FILE}`;
 const MODEL_EMBEDDED_URL = `https://huggingface.co/${MODEL_REPO}/resolve/main/${MODEL_EMBEDDED_FILE}`;
@@ -570,7 +570,7 @@ async function decodeUtterance(final) {
     const { features, frameCount } = pcmToLogMel(audio);
     const ort = state.ort || ortRuntime;
     if (!ort) throw new Error("ONNX Runtime Web did not initialize");
-    const tensor = new ort.Tensor("float16", float32ArrayToFloat16Bits(features), [1, N_MELS, FIXED_FRAMES]);
+    const tensor = new ort.Tensor("float32", features, [1, N_MELS, FIXED_FRAMES]);
     const lengthTensor = new ort.Tensor("int64", BigInt64Array.from([BigInt(frameCount)]), [1]);
     const inferStarted = performance.now();
     const output = await state.session.run({ processed_signal: tensor, processed_signal_length: lengthTensor });