参照下面的unity样式写一个新的接口 httpsgenshinvoicetopapispeaker=胡桃&text=你好&format=wav&length=1&noise=05&noisew=09&sdp_ratio=02using System;using SystemCollections;using UnityEngine;using UnityEngineNetworking;publ

根据提供的Unity样式，编写一个新的接口。该接口使用OpenAI的语音识别API，并将音频转换为文本。

using System;
using System.Collections;
using UnityEngine;
using UnityEngine.Networking;

public class OpenAISpeechToText : STT
{
    [SerializeField] private string api_key;
    private string m_SpeechRecognizeURL;

    private void Awake()
    {
        m_SpeechRecognizeURL = "https://api.openai.com/v1/audio/transcriptions";
    }

    public override void SpeechToText(AudioClip _clip, Action<string> _callback)
    {
        byte[] _audioData = WavUtility.FromAudioClip(_clip);
        StartCoroutine(SendAudioData(_audioData, _callback));
    }

    private IEnumerator SendAudioData(byte[] audioBytes, Action<string> _callback)
    {
        Stopwatch stopwatch = new Stopwatch();
        stopwatch.Start();

        WWWForm form = new WWWForm();
        form.AddBinaryData("file", audioBytes, "sample.wav", "audio/wav");
        form.AddField("model", "whisper-1");

        UnityWebRequest www = UnityWebRequest.Post(m_SpeechRecognizeURL, form);
        www.SetRequestHeader("Authorization", "Bearer " + api_key);

        yield return www.SendWebRequest();

        if (www.result != UnityWebRequest.Result.Success)
        {
            Debug.LogError("Error sending audio file: " + www.error);
        }
        else
        {
            Response _response = JsonUtility.FromJson<Response>(www.downloadHandler.text);
            _callback(_response.text);
        }

        stopwatch.Stop();
        Debug.Log("OpenAI语音识别耗时：" + stopwatch.Elapsed.TotalSeconds);
    }

    [Serializable]
    public class Response
    {
        public string text = string.Empty;
    }
}

请注意，在使用此代码之前，您需要将api_key设置为您自己的OpenAI API密钥，并确保项目中包含WavUtility类的定义。