[Info] Successfully preconnected to https://fonts.gstatic.com/ [Error] Failed to load resource: the server responded with a status of 406 () (sse, line 0) [Error] Failed to fetch Space status via SSE: – "Failed to initialize stream (code 406)" onStateChange (SpaceHeader-c8d40fa5.js:51:6726) onerror (CaretButton-ec4397ef.js:2:2867) (anonymous function) (CaretButton-ec4397ef.js:2:1562) [Error] SSE Stream ended with error: – Error: Failed to initialize stream (code 406) Error: Failed to initialize stream (code 406) error [Log] getUserMedia supported. (app-asr.js, line 66) [Log] AudioContext {baseLatency: 0.008, getOutputTimestamp: function, suspend: function, resume: function, close: function, …} (app-asr.js, line 75) [Log] sample rate 16000 (app-asr.js, line 77) [Log] media stream – MediaStreamAudioSourceNode {mediaStream: MediaStream, context: AudioContext, numberOfInputs: 0, …} (app-asr.js, line 81) MediaStreamAudioSourceNode {mediaStream: MediaStream, context: AudioContext, numberOfInputs: 0, numberOfOutputs: 1, channelCount: 2, …}MediaStreamAudioSourceNode [Log] recorder – ScriptProcessorNode {onaudioprocess: null, bufferSize: 4096, context: AudioContext, …} (app-asr.js, line 95) ScriptProcessorNode {onaudioprocess: null, bufferSize: 4096, context: AudioContext, numberOfInputs: 1, numberOfOutputs: 1, …}ScriptProcessorNode [Log] inited! (app-asr.js, line 43) [Log] /home/runner/work/sherpa-onnx/sherpa-onnx/sherpa-onnx/c-api/c-api.cc:SherpaOnnxCreateOnlineRecognizer:135 OnlineRecognizerConfig(feat_config=FeatureExtractorConfig(sampling_rate=16000, feature_dim=80, low_freq=20, high_freq=-400, dither=0), model_config=OnlineModelConfig(transducer=OnlineTransducerModelConfig(encoder="./encoder.onnx", decoder="./decoder.onnx", joiner="./joiner.onnx"), paraformer=OnlineParaformerModelConfig(encoder="", decoder=""), wenet_ctc=OnlineWenetCtcModelConfig(model="", chunk_size=16, num_left_chunks=4), zipformer2_ctc=OnlineZipformer2CtcModelConfig(model=""), nemo_ctc=OnlineNeMoCtcModelConfig(model=""), provider_config=ProviderConfig(device=0, provider="cpu", cuda_config=CudaConfig(cudnn_conv_algo_search=1), trt_config=TensorrtConfig(trt_max_workspace_size=2147483647, trt_max_partition_iterations=10, trt_min_subgraph_size=5, trt_fp16_enable="True", trt_detailed_build_log="False", trt_engine_cache_enable="True", trt_engine_cache_path=".", trt_timing_cache_enable="True", trt_timing_cache_path=".",trt_dump_subgraphs="False" )), tokens="./tokens.txt", num_threads=1, warm_up=0, debug=True, model_type="", modeling_unit="cjkchar", bpe_vocab=""), lm_config=OnlineLMConfig(model="", scale=0.5), endpoint_config=EndpointConfig(rule1=EndpointRule(must_contain_nonsilence=False, min_trailing_silence=2.4, min_utterance_length=0), rule2=EndpointRule(must_contain_nonsilence=True, min_trailing_silence=1.2, min_utterance_length=0), rule3=EndpointRule(must_contain_nonsilence=False, min_trailing_silence=0, min_utterance_length=20)), ctc_fst_decoder_config=OnlineCtcFstDecoderConfig(graph="", max_active=3000), enable_endpoint=True, max_active_paths=4, hotwords_score=1.5, hotwords_file="", decoding_method="greedy_search", blank_penalty=0, temperature_scale=2, rule_fsts="", rule_fars="") (sherpa-onnx-wasm-main-asr.js, line 998) [Log] (sherpa-onnx-wasm-main-asr.js, line 998) [Log] /home/runner/work/sherpa-onnx/sherpa-onnx/sherpa-onnx/csrc/online-transducer-model.cc:GetModelType:52 cnn_module_kernels=31,31,31,31,31 (sherpa-onnx-wasm-main-asr.js, line 998) [Log] attention_dims=192,192,192,192,192 (sherpa-onnx-wasm-main-asr.js, line 998) [Log] num_encoder_layers=2,4,3,2,4 (sherpa-onnx-wasm-main-asr.js, line 998) [Log] T=39 (sherpa-onnx-wasm-main-asr.js, line 998) [Log] decode_chunk_len=32 (sherpa-onnx-wasm-main-asr.js, line 998) [Log] model_author=k2-fsa (sherpa-onnx-wasm-main-asr.js, line 998) [Log] encoder_dims=384,384,384,384,384 (sherpa-onnx-wasm-main-asr.js, line 998) [Log] version=1 (sherpa-onnx-wasm-main-asr.js, line 998) [Log] left_context_len=64,32,16,8,32 (sherpa-onnx-wasm-main-asr.js, line 998) [Log] onnx.infer=onnxruntime.quant (sherpa-onnx-wasm-main-asr.js, line 998) [Log] model_type=zipformer (sherpa-onnx-wasm-main-asr.js, line 998) [Log] (sherpa-onnx-wasm-main-asr.js, line 998) [Log] /home/runner/work/sherpa-onnx/sherpa-onnx/sherpa-onnx/csrc/online-zipformer-transducer-model.cc:InitEncoder:94 ---encoder--- (sherpa-onnx-wasm-main-asr.js, line 998) [Log] cnn_module_kernels=31,31,31,31,31 (sherpa-onnx-wasm-main-asr.js, line 998) [Log] attention_dims=192,192,192,192,192 (sherpa-onnx-wasm-main-asr.js, line 998) [Log] num_encoder_layers=2,4,3,2,4 (sherpa-onnx-wasm-main-asr.js, line 998) [Log] T=39 (sherpa-onnx-wasm-main-asr.js, line 998) [Log] decode_chunk_len=32 (sherpa-onnx-wasm-main-asr.js, line 998) [Log] model_author=k2-fsa (sherpa-onnx-wasm-main-asr.js, line 998) [Log] encoder_dims=384,384,384,384,384 (sherpa-onnx-wasm-main-asr.js, line 998) [Log] version=1 (sherpa-onnx-wasm-main-asr.js, line 998) [Log] left_context_len=64,32,16,8,32 (sherpa-onnx-wasm-main-asr.js, line 998) [Log] onnx.infer=onnxruntime.quant (sherpa-onnx-wasm-main-asr.js, line 998) [Log] model_type=zipformer (sherpa-onnx-wasm-main-asr.js, line 998) [Log] (sherpa-onnx-wasm-main-asr.js, line 998) [Log] /home/runner/work/sherpa-onnx/sherpa-onnx/sherpa-onnx/csrc/online-zipformer-transducer-model.cc:operator():114 encoder_dims: 384 384 384 384 384 (sherpa-onnx-wasm-main-asr.js, line 998) [Log] (sherpa-onnx-wasm-main-asr.js, line 998) [Log] /home/runner/work/sherpa-onnx/sherpa-onnx/sherpa-onnx/csrc/online-zipformer-transducer-model.cc:operator():114 attention_dims: 192 192 192 192 192 (sherpa-onnx-wasm-main-asr.js, line 998) [Log] (sherpa-onnx-wasm-main-asr.js, line 998) [Log] /home/runner/work/sherpa-onnx/sherpa-onnx/sherpa-onnx/csrc/online-zipformer-transducer-model.cc:operator():114 num_encoder_layers: 2 4 3 2 4 (sherpa-onnx-wasm-main-asr.js, line 998) [Log] (sherpa-onnx-wasm-main-asr.js, line 998) [Log] /home/runner/work/sherpa-onnx/sherpa-onnx/sherpa-onnx/csrc/online-zipformer-transducer-model.cc:operator():114 cnn_module_kernels: 31 31 31 31 31 (sherpa-onnx-wasm-main-asr.js, line 998) [Log] (sherpa-onnx-wasm-main-asr.js, line 998) [Log] /home/runner/work/sherpa-onnx/sherpa-onnx/sherpa-onnx/csrc/online-zipformer-transducer-model.cc:operator():114 left_context_len: 64 32 16 8 32 (sherpa-onnx-wasm-main-asr.js, line 998) [Log] (sherpa-onnx-wasm-main-asr.js, line 998) [Log] /home/runner/work/sherpa-onnx/sherpa-onnx/sherpa-onnx/csrc/online-zipformer-transducer-model.cc:InitEncoder:121 T: 39 (sherpa-onnx-wasm-main-asr.js, line 998) [Log] /home/runner/work/sherpa-onnx/sherpa-onnx/sherpa-onnx/csrc/online-zipformer-transducer-model.cc:InitEncoder:122 decode_chunk_len_: 32 (sherpa-onnx-wasm-main-asr.js, line 998) [Log] /home/runner/work/sherpa-onnx/sherpa-onnx/sherpa-onnx/csrc/online-zipformer-transducer-model.cc:InitDecoder:143 ---decoder--- (sherpa-onnx-wasm-main-asr.js, line 998) [Log] context_size=2 (sherpa-onnx-wasm-main-asr.js, line 998) [Log] vocab_size=500 (sherpa-onnx-wasm-main-asr.js, line 998) [Log] (sherpa-onnx-wasm-main-asr.js, line 998) [Log] /home/runner/work/sherpa-onnx/sherpa-onnx/sherpa-onnx/csrc/online-zipformer-transducer-model.cc:InitJoiner:168 ---joiner--- (sherpa-onnx-wasm-main-asr.js, line 998) [Log] joiner_dim=512 (sherpa-onnx-wasm-main-asr.js, line 998) [Log] (sherpa-onnx-wasm-main-asr.js, line 998) [Log] recognizer is created! – OnlineRecognizer {config: Object, handle: 11513600, Module: Object} (app-asr.js, line 49) OnlineRecognizer {config: Object, handle: 11513600, Module: Object}OnlineRecognizer