diff --git a/.github/workflows/wasm-simd-hf-space-vad-asr-zipformer-ja.yaml b/.github/workflows/wasm-simd-hf-space-vad-asr-zipformer-ja.yaml
index b893d88aa..460397b66 100644
--- a/.github/workflows/wasm-simd-hf-space-vad-asr-zipformer-ja.yaml
+++ b/.github/workflows/wasm-simd-hf-space-vad-asr-zipformer-ja.yaml
@@ -51,9 +51,9 @@ jobs:
 
           tar xvf sherpa-onnx-zipformer-ja-reazonspeech-2024-08-01.tar.bz2
           rm sherpa-onnx-zipformer-ja-reazonspeech-2024-08-01.tar.bz2
-          mv -v sherpa-onnx-zipformer-ja-reazonspeech-2024-08-01/encoder-epoch-99-avg-1.int8.onnx ./zipformer-encoder.onnx
-          mv -v sherpa-onnx-zipformer-ja-reazonspeech-2024-08-01/decoder-epoch-99-avg-1.onnx ./zipformer-decoder.onnx
-          mv -v sherpa-onnx-zipformer-ja-reazonspeech-2024-08-01/joiner-epoch-99-avg-1.int8.onnx ./zipformer-joiner.onnx
+          mv -v sherpa-onnx-zipformer-ja-reazonspeech-2024-08-01/encoder-epoch-99-avg-1.int8.onnx ./transducer-encoder.onnx
+          mv -v sherpa-onnx-zipformer-ja-reazonspeech-2024-08-01/decoder-epoch-99-avg-1.onnx ./transducer-decoder.onnx
+          mv -v sherpa-onnx-zipformer-ja-reazonspeech-2024-08-01/joiner-epoch-99-avg-1.int8.onnx ./transducer-joiner.onnx
           mv -v sherpa-onnx-zipformer-ja-reazonspeech-2024-08-01/tokens.txt ./
 
           rm -rf sherpa-onnx-zipformer-ja-reazonspeech-2024-08-01
diff --git a/.github/workflows/wasm-simd-hf-space-vad-asr-zipformer-thai.yaml b/.github/workflows/wasm-simd-hf-space-vad-asr-zipformer-thai.yaml
index 7f28be39e..2b03b3845 100644
--- a/.github/workflows/wasm-simd-hf-space-vad-asr-zipformer-thai.yaml
+++ b/.github/workflows/wasm-simd-hf-space-vad-asr-zipformer-thai.yaml
@@ -50,9 +50,9 @@ jobs:
           curl -SL -O https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/sherpa-onnx-zipformer-thai-2024-06-20.tar.bz2
           tar xvf sherpa-onnx-zipformer-thai-2024-06-20.tar.bz2
           rm sherpa-onnx-zipformer-thai-2024-06-20.tar.bz2
-          mv -v sherpa-onnx-zipformer-thai-2024-06-20/encoder-epoch-12-avg-5.int8.onnx ./zipformer-encoder.onnx
-          mv -v sherpa-onnx-zipformer-thai-2024-06-20/decoder-epoch-12-avg-5.onnx ./zipformer-decoder.onnx
-          mv -v sherpa-onnx-zipformer-thai-2024-06-20/joiner-epoch-12-avg-5.int8.onnx ./zipformer-joiner.onnx
+          mv -v sherpa-onnx-zipformer-thai-2024-06-20/encoder-epoch-12-avg-5.int8.onnx ./transducer-encoder.onnx
+          mv -v sherpa-onnx-zipformer-thai-2024-06-20/decoder-epoch-12-avg-5.onnx ./transducer-decoder.onnx
+          mv -v sherpa-onnx-zipformer-thai-2024-06-20/joiner-epoch-12-avg-5.int8.onnx ./transducer-joiner.onnx
           mv -v sherpa-onnx-zipformer-thai-2024-06-20/tokens.txt ./tokens.txt
 
           rm -rf sherpa-onnx-zipformer-thai-2024-06-20
diff --git a/README.md b/README.md
index 3684caf2d..b7f3cebfe 100644
--- a/README.md
+++ b/README.md
@@ -100,6 +100,8 @@ We also have spaces built using WebAssembly. The are listed below:
 |Real-time speech recognition (Chinese + English + Cantonese) with [Paraformer](https://www.modelscope.cn/models/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/summary)|[Click me](https://huggingface.co/spaces/k2-fsa/web-assembly-asr-sherpa-onnx-zh-cantonese-en-paraformer)| [地址](https://modelscope.cn/studios/k2-fsa/web-assembly-asr-sherpa-onnx-zh-cantonese-en-paraformer)|
 |VAD + speech recognition (Chinese + English + Korean + Japanese + Cantonese) with [SenseVoice](https://github.com/FunAudioLLM/SenseVoice)|[Click me](https://huggingface.co/spaces/k2-fsa/web-assembly-vad-asr-sherpa-onnx-zh-en-ja-ko-cantonese-sense-voice)| [地址](https://www.modelscope.cn/studios/csukuangfj/web-assembly-vad-asr-sherpa-onnx-zh-en-jp-ko-cantonese-sense-voice)|
 |VAD + speech recognition (English) with [Whisper](https://github.com/openai/whisper) tiny.en|[Click me](https://huggingface.co/spaces/k2-fsa/web-assembly-vad-asr-sherpa-onnx-en-whisper-tiny)| [地址](https://www.modelscope.cn/studios/csukuangfj/web-assembly-vad-asr-sherpa-onnx-en-whisper-tiny)|
+|VAD + speech recognition (Japanese) with Zipformer trained with [ReazonSpeech](https://research.reazon.jp/_static/reazonspeech_nlp2023.pdf)|[Click me](https://huggingface.co/spaces/k2-fsa/web-assembly-vad-asr-sherpa-onnx-ja-zipformer)| [地址](https://www.modelscope.cn/studios/csukuangfj/web-assembly-vad-asr-sherpa-onnx-ja-zipformer)|
+|VAD + speech recognition (Thai) with Zipformer trained with [GigaSpeech2](https://github.com/SpeechColab/GigaSpeech2)|[Click me](https://huggingface.co/spaces/k2-fsa/web-assembly-vad-asr-sherpa-onnx-th-zipformer)| [地址](https://www.modelscope.cn/studios/csukuangfj/web-assembly-vad-asr-sherpa-onnx-th-zipformer)|
 |Real-time speech recognition (English) |[Click me](https://huggingface.co/spaces/k2-fsa/web-assembly-asr-sherpa-onnx-en)|[地址](https://modelscope.cn/studios/k2-fsa/web-assembly-asr-sherpa-onnx-en)|
 |Speech synthesis (English) |[Click me](https://huggingface.co/spaces/k2-fsa/web-assembly-tts-sherpa-onnx-en)| [地址](https://modelscope.cn/studios/k2-fsa/web-assembly-tts-sherpa-onnx-en)|
 |Speech synthesis (German)|[Click me](https://huggingface.co/spaces/k2-fsa/web-assembly-tts-sherpa-onnx-de)| [地址](https://modelscope.cn/studios/k2-fsa/web-assembly-tts-sherpa-onnx-de)|