diff --git a/examples/cases.jsonl b/examples/cases.jsonl index 32434ac..98b5f30 100644 --- a/examples/cases.jsonl +++ b/examples/cases.jsonl @@ -4,8 +4,8 @@ {"prompt_audio":"voice_04.wav","text":"你就需要我这种专业人士的帮助,就像手无缚鸡之力的人进入雪山狩猎,一定需要最老练的猎人指导。","emo_mode":0} {"prompt_audio":"voice_05.wav","text":"在真正的日本剑道中,格斗过程极其短暂,常常短至半秒,最长也不超过两秒,利剑相击的转瞬间,已有一方倒在血泊中。但在这电光石火的对决之前,双方都要以一个石雕般凝固的姿势站定,长时间的逼视对方,这一过程可能长达十分钟!","emo_mode":0} {"prompt_audio":"voice_06.wav","text":"今天呢,咱们开一部新书,叫《赛博朋克二零七七》。这词儿我听着都新鲜。这赛博朋克啊,简单理解就是“高科技,低生活”。这一听,我就明白了,于老师就爱用那高科技的东西,手机都得拿脚纹开,大冬天为了解锁脱得一丝不挂,冻得跟王八蛋似的。","emo_mode":0} -{"prompt_audio":"voice_07.wav","emo_audio":"emo_sad.wav","emo_weight": 1.0, "emo_mode":1,"text":"酒楼丧尽天良,开始借机竞拍房间,哎,一群蠢货。"} -{"prompt_audio":"voice_08.wav","emo_audio":"emo_hate.wav","emo_weight": 1.0, "emo_mode":1,"text":"你看看你,对我还有没有一点父子之间的信任了。"} +{"prompt_audio":"voice_07.wav","emo_audio":"emo_sad.wav","emo_weight": 0.65, "emo_mode":1,"text":"酒楼丧尽天良,开始借机竞拍房间,哎,一群蠢货。"} +{"prompt_audio":"voice_08.wav","emo_audio":"emo_hate.wav","emo_weight": 0.65, "emo_mode":1,"text":"你看看你,对我还有没有一点父子之间的信任了。"} {"prompt_audio":"voice_09.wav","emo_vec_3":0.8,"emo_mode":2,"text":"对不起嘛!我的记性真的不太好,但是和你在一起的事情,我都会努力记住的~"} {"prompt_audio":"voice_10.wav","emo_vec_7":1.0,"emo_mode":2,"text":"哇塞!这个爆率也太高了!欧皇附体了!"} {"prompt_audio":"voice_11.wav","emo_mode":3,"emo_text":"极度悲伤","text":"这些年的时光终究是错付了... "} diff --git a/webui.py b/webui.py index c2a1a34..302a5b3 100644 --- a/webui.py +++ b/webui.py @@ -142,8 +142,6 @@ def gen_single(emo_control_method,prompt, text, if emo_control_method == 0: # emotion from speaker emo_ref_path = None # remove external reference audio if emo_control_method == 1: # emotion from reference audio - # normalize emo_alpha for better user experience - emo_weight = emo_weight * 0.8 pass if emo_control_method == 2: # emotion from custom vectors vec = [vec1, vec2, vec3, vec4, vec5, vec6, vec7, vec8] @@ -233,7 +231,7 @@ with gr.Blocks(title="IndexTTS Demo") as demo: with gr.Row(visible=False) as emo_weight_group: - emo_weight = gr.Slider(label=i18n("情感权重"), minimum=0.0, maximum=1.0, value=0.8, step=0.01) + emo_weight = gr.Slider(label=i18n("情感权重"), minimum=0.0, maximum=1.0, value=0.65, step=0.01) with gr.Accordion(i18n("高级生成参数设置"), open=False,visible=False) as advanced_settings_group: with gr.Row():