When running speech recognition with ReazonSpeech, the model only outputs a single word, regardless of the length or content of the input audio. This happens even with clear audio files containing multiple words or full sentence
import librosa
import soundfile as sf
import io
import tempfile
import numpy as np
# from reazonspeech.nemo.asr import load_model, transcribe, audio_from_path
from reazonspeech.k2.asr import load_model, transcribe, audio_from_path
# === Load ReazonSpeech model from Hugging Face ===
# model = load_model("reazon-research/reazonspeech-k2-v2-ja-en")
model = load_model(device="cpu", precision="fp32", language="ja") # or language="ja-en" for bilingual model
# === Step 1: Load and resample audio to 16,000 Hz ===
audio_path = r'D:\Image_Based_searchengine\product_images\audio (3).wav'
y, sr = librosa.load(audio_path, sr=16000, mono=True)
# === Step 2: Amplify the audio by 1.5x and clip to avoid distortion ===
amplified_y = np.clip(y * 1.5, -1.0, 1.0)
# === Step 3: Write amplified audio to an in-memory buffer ===
buffer = io.BytesIO()
sf.write(buffer, amplified_y, 16000, format='WAV', subtype='PCM_16')
buffer.seek(0)
# === Step 4: Save buffer to a temp WAV file for ASR model ===
with tempfile.NamedTemporaryFile(delete=False, suffix=".wav") as tmp:
tmp.write(buffer.read())
temp_wav_path = tmp.name
# === Step 5: Transcribe ===
audio = audio_from_path(temp_wav_path)
print("audio.samplerate:", audio.samplerate)
ret = transcribe(model, audio)
print("Transcribed Text:", ret.text)
When running speech recognition with ReazonSpeech, the model only outputs a single word, regardless of the length or content of the input audio. This happens even with clear audio files containing multiple words or full sentence
audio (3).zip
Code: